{"id":"https://openalex.org/W3128131898","doi":"https://doi.org/10.1109/tnnls.2021.3054746","title":"Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images","display_name":"Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images","publication_year":2021,"publication_date":"2021-02-08","ids":{"openalex":"https://openalex.org/W3128131898","doi":"https://doi.org/10.1109/tnnls.2021.3054746","mag":"3128131898","pmid":"https://pubmed.ncbi.nlm.nih.gov/33544680"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3054746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3054746","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.iisc.ac.in/81450/1/IEEE_tra_neu_32-3_932-946_2021.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059936338","display_name":"Naveen Paluru","orcid":"https://orcid.org/0000-0002-6617-5132"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Naveen Paluru","raw_affiliation_strings":["Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076329713","display_name":"Aveen Dayal","orcid":"https://orcid.org/0000-0001-6792-9170"},"institutions":[{"id":"https://openalex.org/I200650556","display_name":"University of Agder","ror":"https://ror.org/03x297z98","country_code":"NO","type":"education","lineage":["https://openalex.org/I200650556"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Aveen Dayal","raw_affiliation_strings":["Department of Information and Communication Technology, University of Agder, Grimstad, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Technology, University of Agder, Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021028410","display_name":"H\u00e5vard Bj\u00f8rke Jenssen","orcid":"https://orcid.org/0000-0001-8624-1152"},"institutions":[{"id":"https://openalex.org/I1281400175","display_name":"Oslo University Hospital","ror":"https://ror.org/00j9c2840","country_code":"NO","type":"healthcare","lineage":["https://openalex.org/I1281400175"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Havard Bjorke Jenssen","raw_affiliation_strings":["Artificial Intelligence AS, Oslo, Norway","Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence AS, Oslo, Norway","institution_ids":[]},{"raw_affiliation_string":"Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway","institution_ids":["https://openalex.org/I1281400175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070748091","display_name":"Tomas Sakinis","orcid":"https://orcid.org/0000-0001-5954-7586"},"institutions":[{"id":"https://openalex.org/I1281400175","display_name":"Oslo University Hospital","ror":"https://ror.org/00j9c2840","country_code":"NO","type":"healthcare","lineage":["https://openalex.org/I1281400175"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Tomas Sakinis","raw_affiliation_strings":["Artificial Intelligence AS, Oslo, Norway","Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence AS, Oslo, Norway","institution_ids":[]},{"raw_affiliation_string":"Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway","institution_ids":["https://openalex.org/I1281400175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014288820","display_name":"Linga Reddy Cenkeramaddi","orcid":"https://orcid.org/0000-0002-1023-2118"},"institutions":[{"id":"https://openalex.org/I200650556","display_name":"University of Agder","ror":"https://ror.org/03x297z98","country_code":"NO","type":"education","lineage":["https://openalex.org/I200650556"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Linga Reddy Cenkeramaddi","raw_affiliation_strings":["Department of Information and Communication Technology, University of Agder, Grimstad, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Technology, University of Agder, Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008353746","display_name":"Jaya Prakash","orcid":"https://orcid.org/0000-0002-2375-154X"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jaya Prakash","raw_affiliation_strings":["Department of Instrumentation and Applied Physics, Indian Institute of Science, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Department of Instrumentation and Applied Physics, Indian Institute of Science, Bengaluru, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068561041","display_name":"Phaneendra K. Yalavarthy","orcid":"https://orcid.org/0000-0003-4810-352X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Phaneendra K. Yalavarthy","raw_affiliation_strings":["Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5059936338"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":21.1639,"has_fulltext":true,"cited_by_count":179,"citation_normalized_percentile":{"value":0.99734505,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"32","issue":"3","first_page":"932","last_page":"946"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7598317861557007},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6481308341026306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5424336791038513},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.48799318075180054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4594275951385498},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4399910271167755},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.4394252598285675},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.4354773759841919},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36853617429733276},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16938665509223938},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.0924566388130188},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.0677875280380249}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7598317861557007},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6481308341026306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5424336791038513},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.48799318075180054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4594275951385498},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4399910271167755},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.4394252598285675},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.4354773759841919},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36853617429733276},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16938665509223938},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0924566388130188},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0677875280380249},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1109/tnnls.2021.3054746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3054746","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:33544680","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33544680","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai::81450","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.iisc.ac.in/81450/1/IEEE_tra_neu_32-3_932-946_2021.pdf","source":{"id":"https://openalex.org/S4306401429","display_name":"ePrints@IISc (Indian Institute of Science)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8544939","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8544939","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Neural Netw Learn Syst","raw_type":"Text"},{"id":"pmh:oai:uia.brage.unit.no:11250/2992293","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/2992293","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"932-946","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai::81450","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.iisc.ac.in/81450/1/IEEE_tra_neu_32-3_932-946_2021.pdf","source":{"id":"https://openalex.org/S4306401429","display_name":"ePrints@IISc (Indian Institute of Science)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7618422984","display_name":null,"funder_award_id":"287918","funder_id":"https://openalex.org/F4320323299","funder_display_name":"Norges Forskningsr\u00e5d"}],"funders":[{"id":"https://openalex.org/F4320323299","display_name":"Norges Forskningsr\u00e5d","ror":"https://ror.org/00epmv149"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3128131898.pdf","grobid_xml":"https://content.openalex.org/works/W3128131898.grobid-xml"},"referenced_works_count":82,"referenced_works":["https://openalex.org/W1486026951","https://openalex.org/W1522301498","https://openalex.org/W1650736245","https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W2078115938","https://openalex.org/W2097117768","https://openalex.org/W2138324310","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2419448466","https://openalex.org/W2586093485","https://openalex.org/W2732931556","https://openalex.org/W2766102429","https://openalex.org/W2768295347","https://openalex.org/W2798122215","https://openalex.org/W2921406441","https://openalex.org/W2940870969","https://openalex.org/W2949117887","https://openalex.org/W2963446712","https://openalex.org/W2963840672","https://openalex.org/W2963881378","https://openalex.org/W2964121744","https://openalex.org/W2964309882","https://openalex.org/W2970971581","https://openalex.org/W2971013993","https://openalex.org/W2971198903","https://openalex.org/W2973090649","https://openalex.org/W2978005227","https://openalex.org/W2996290406","https://openalex.org/W2999580839","https://openalex.org/W3002108456","https://openalex.org/W3004906315","https://openalex.org/W3005272159","https://openalex.org/W3006040295","https://openalex.org/W3006643024","https://openalex.org/W3007170347","https://openalex.org/W3008985036","https://openalex.org/W3010381061","https://openalex.org/W3010848803","https://openalex.org/W3010902474","https://openalex.org/W3011041531","https://openalex.org/W3011048075","https://openalex.org/W3011149445","https://openalex.org/W3013633552","https://openalex.org/W3014561994","https://openalex.org/W3014795415","https://openalex.org/W3014993555","https://openalex.org/W3015145675","https://openalex.org/W3020630084","https://openalex.org/W3027763298","https://openalex.org/W3027914507","https://openalex.org/W3028070348","https://openalex.org/W3031923721","https://openalex.org/W3034739178","https://openalex.org/W3035470482","https://openalex.org/W3037538421","https://openalex.org/W3054666633","https://openalex.org/W3081752372","https://openalex.org/W3103010481","https://openalex.org/W3103199493","https://openalex.org/W3176628328","https://openalex.org/W3208176997","https://openalex.org/W4205392594","https://openalex.org/W4205606652","https://openalex.org/W4230649743","https://openalex.org/W4293406525","https://openalex.org/W4295312788","https://openalex.org/W4313291495","https://openalex.org/W6631190155","https://openalex.org/W6637078681","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6684191040","https://openalex.org/W6696085341","https://openalex.org/W6717372056","https://openalex.org/W6748481559","https://openalex.org/W6750469568","https://openalex.org/W6759792163","https://openalex.org/W6766978945","https://openalex.org/W6774807847","https://openalex.org/W6776589595"],"related_works":["https://openalex.org/W3036314732","https://openalex.org/W3009669391","https://openalex.org/W3176864053","https://openalex.org/W4206669628","https://openalex.org/W3171943759","https://openalex.org/W4292098121","https://openalex.org/W3154141118","https://openalex.org/W4388896133","https://openalex.org/W3031607536","https://openalex.org/W3198183218"],"abstract_inverted_index":{"Chest":[0],"computed":[1],"tomography":[2],"(CT)":[3],"imaging":[4],"has":[5,24,93],"become":[6],"indispensable":[7],"for":[8,37,142,197,210],"staging":[9],"and":[10,16,144,166,185,204],"managing":[11],"coronavirus":[12],"disease":[13],"2019":[14],"(COVID-19),":[15],"current":[17],"evaluation":[18],"of":[19,34,51,60,110],"anomalies/abnormalities":[20],"associated":[21],"with":[22,154,191],"COVID-19":[23,39,52,86],"been":[25],"performed":[26],"majorly":[27],"by":[28],"the":[29,58,64,100,133,148,205],"visual":[30],"score.":[31],"The":[32,49,90,120,168,200],"development":[33],"automated":[35],"methods":[36],"quantifying":[38],"abnormalities":[40],"in":[41,53,63,85,113,147],"these":[42],"CT":[43,55,88,124],"images":[44,56,125],"is":[45,57],"invaluable":[46],"to":[47,70,82,99,193],"clinicians.":[48],"hallmark":[50],"chest":[54,87,123],"presence":[59],"ground-glass":[61],"opacities":[62],"lung":[65],"region,":[66],"which":[67],"are":[68,208],"tedious":[69],"segment":[71,83],"manually.":[72],"We":[73,150],"propose":[74],"anamorphic":[75],"depth":[76],"embedding-based":[77],"lightweight":[78,108],"CNN,":[79],"called":[80],"Anam-Net,":[81],"anomalies":[84],"images.":[89],"proposed":[91,134,169],"Anam-Net":[92,153,170,192],"7.8":[94],"times":[95],"fewer":[96],"parameters":[97],"compared":[98],"state-of-the-art":[101,156],"UNet":[102],"(or":[103],"its":[104,195],"variants),":[105],"making":[106],"it":[107],"capable":[109],"providing":[111],"inferences":[112],"mobile":[114,206],"or":[115],"resource":[116],"constraint":[117],"(point-of-care)":[118],"platforms.":[119,199],"results":[121],"from":[122],"(test":[126],"cases)":[127],"across":[128],"different":[129],"experiments":[130],"showed":[131],"that":[132],"method":[135],"could":[136],"provide":[137],"good":[138],"Dice":[139],"similarity":[140],"scores":[141],"abnormal":[143],"normal":[145],"regions":[146],"lung.":[149],"have":[151],"benchmarked":[152],"other":[155],"architectures,":[157],"such":[158,177],"as":[159,178],"ENet,":[160],"LEDNet,":[161],"UNet++,":[162],"SegNet,":[163],"Attention":[164],"UNet,":[165],"DeepLabV3+.":[167],"was":[171],"also":[172],"deployed":[173],"on":[174],"embedded":[175,190],"systems,":[176],"Raspberry":[179],"Pi":[180],"4,":[181],"NVIDIA":[182],"Jetson":[183],"Xavier,":[184],"mobile-based":[186],"Android":[187],"application":[188,207],"(CovSeg)":[189],"demonstrate":[194],"suitability":[196],"point-of-care":[198],"generated":[201],"codes,":[202],"models,":[203],"available":[209],"enthusiastic":[211],"users":[212],"at":[213],"https://github.com/NaveenPaluru/Segmentation-COVID-19.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":40},{"year":2023,"cited_by_count":40},{"year":2022,"cited_by_count":49},{"year":2021,"cited_by_count":23},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
