{"id":"https://openalex.org/W3165974023","doi":"https://doi.org/10.1145/3447587.3447614","title":"AMF-UNet: A CT Image Segmentation Approach of Pulmonary Tuberculosis","display_name":"AMF-UNet: A CT Image Segmentation Approach of Pulmonary Tuberculosis","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3165974023","doi":"https://doi.org/10.1145/3447587.3447614","mag":"3165974023"},"language":"en","primary_location":{"id":"doi:10.1145/3447587.3447614","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447587.3447614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 4th International Conference on Image and Graphics Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100748464","display_name":"Yan Zhao","orcid":"https://orcid.org/0009-0004-4419-7308"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Zhao","raw_affiliation_strings":["School of Information of Yunnan University, China"],"affiliations":[{"raw_affiliation_string":"School of Information of Yunnan University, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778603","display_name":"Dan Xu","orcid":"https://orcid.org/0000-0003-4602-3550"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Xu","raw_affiliation_strings":["School of Information of Yunnan University, China"],"affiliations":[{"raw_affiliation_string":"School of Information of Yunnan University, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044301101","display_name":"Kangjian He","orcid":"https://orcid.org/0000-0001-6207-9728"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kangjian He","raw_affiliation_strings":["School of Information of Yunnan University, China"],"affiliations":[{"raw_affiliation_string":"School of Information of Yunnan University, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100748464"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.08206126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"182","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9969000220298767,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9969000220298767,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9966999888420105,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6722722053527832},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5775977373123169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5606240630149841},{"id":"https://openalex.org/keywords/pulmonary-tuberculosis","display_name":"Pulmonary tuberculosis","score":0.5463758111000061},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5184594988822937},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.48643922805786133},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43552589416503906},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4102347195148468},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4047509729862213},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3635548949241638},{"id":"https://openalex.org/keywords/tuberculosis","display_name":"Tuberculosis","score":0.32599711418151855},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.13506120443344116}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6722722053527832},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5775977373123169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5606240630149841},{"id":"https://openalex.org/C2908628106","wikidata":"https://www.wikidata.org/wiki/Q12204","display_name":"Pulmonary tuberculosis","level":3,"score":0.5463758111000061},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5184594988822937},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.48643922805786133},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43552589416503906},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4102347195148468},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4047509729862213},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3635548949241638},{"id":"https://openalex.org/C2781069245","wikidata":"https://www.wikidata.org/wiki/Q12204","display_name":"Tuberculosis","level":2,"score":0.32599711418151855},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.13506120443344116}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447587.3447614","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447587.3447614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 4th International Conference on Image and Graphics Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1812394418","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2013465174","https://openalex.org/W2036390026","https://openalex.org/W2148358298","https://openalex.org/W2185802128","https://openalex.org/W2187078151","https://openalex.org/W2194775991","https://openalex.org/W2432481613","https://openalex.org/W2752782242","https://openalex.org/W2884585870","https://openalex.org/W2913476940","https://openalex.org/W2928133111","https://openalex.org/W2971066994","https://openalex.org/W2972093541","https://openalex.org/W3031830453","https://openalex.org/W3044176775","https://openalex.org/W6750469568","https://openalex.org/W6750645135","https://openalex.org/W6948034681","https://openalex.org/W7036384529"],"related_works":["https://openalex.org/W2806061655","https://openalex.org/W1955737261","https://openalex.org/W2775573077","https://openalex.org/W2911461202","https://openalex.org/W2765354416","https://openalex.org/W2110949356","https://openalex.org/W3032245684","https://openalex.org/W3122854054","https://openalex.org/W2788431082","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Tuberculosis":[0,15],"disease":[1],"is":[2],"a":[3,17,68,110],"serious":[4],"threat":[5],"to":[6,24,75,93,122],"human":[7],"life":[8],"and":[9,11,83],"health,":[10],"CT":[12,36,55,150],"images":[13,37],"of":[14,19,80,127],"shows":[16],"variety":[18],"pathological":[20],"manifestations":[21],"causing":[22],"damage":[23],"the":[25,29,73,88,98,115,119,124,131,139,147],"lungs.":[26],"To":[27],"solve":[28],"problem":[30],"that":[31],"traditional":[32],"segmentation":[33,57,85],"methods":[34],"for":[35,52,118],"cannot":[38],"accurately":[39],"segment":[40],"damaged":[41,81,128],"lungs,":[42],"we":[43,66,108],"proposed":[44,140],"an":[45],"approach,":[46],"Attention":[47],"Multi-scale":[48],"Fusion":[49],"UNet":[50],"(AMF-UNet),":[51],"tuberculosis":[53,149],"lung":[54],"image":[56],"based":[58],"on":[59,146],"convolutional":[60],"neural":[61],"network.":[62],"In":[63,106],"this":[64],"work,":[65],"designed":[67,109],"dual":[69],"attention":[70],"mechanism":[71],"in":[72,91,114],"model":[74,141],"retain":[76],"important":[77],"spatial":[78,100],"information":[79,125],"lungs":[82,129],"improve":[84],"accuracy.":[86],"At":[87],"same":[89],"time,":[90],"order":[92],"extract":[94],"deeper":[95],"semantic":[96],"information,":[97],"atrous":[99],"convolution":[101],"pooling":[102],"pyramid":[103],"was":[104],"introduced.":[105],"particular,":[107],"multi-scale":[111],"fusion":[112],"module":[113],"decoding":[116],"structure":[117],"first":[120],"time":[121],"reduce":[123],"loss":[126],"during":[130],"up-sampling":[132],"process.":[133],"Compared":[134],"with":[135],"several":[136],"enhancement":[137],"methods,":[138],"achieves":[142],"better":[143],"subjective":[144],"results":[145],"ImageClef19":[148],"dataset.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
