{"id":"https://openalex.org/W3217303622","doi":"https://doi.org/10.1109/niles53778.2021.9600522","title":"Instance Segmentation of 2D Label-Free Microscopic Images using Deep Learning","display_name":"Instance Segmentation of 2D Label-Free Microscopic Images using Deep Learning","publication_year":2021,"publication_date":"2021-10-23","ids":{"openalex":"https://openalex.org/W3217303622","doi":"https://doi.org/10.1109/niles53778.2021.9600522","mag":"3217303622"},"language":"en","primary_location":{"id":"doi:10.1109/niles53778.2021.9600522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/niles53778.2021.9600522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","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/A5027422162","display_name":"Basma A. Mohamed","orcid":null},"institutions":[{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Basma A. Mohamed","raw_affiliation_strings":["Helwan University, Egypt"],"affiliations":[{"raw_affiliation_string":"Helwan University, Egypt","institution_ids":["https://openalex.org/I84058292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057533676","display_name":"Lamees N. Mahmoud","orcid":"https://orcid.org/0009-0007-1156-1187"},"institutions":[{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Lamees N. Mahmoud","raw_affiliation_strings":["Helwan University, Egypt"],"affiliations":[{"raw_affiliation_string":"Helwan University, Egypt","institution_ids":["https://openalex.org/I84058292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047871182","display_name":"Walid Al\u2010Atabany","orcid":"https://orcid.org/0000-0002-8141-2511"},"institutions":[{"id":"https://openalex.org/I57629906","display_name":"Nile University","ror":"https://ror.org/03cg7cp61","country_code":"EG","type":"education","lineage":["https://openalex.org/I57629906"]},{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Walid Al-Atabany","raw_affiliation_strings":["Helwan University, Egypt","Information Technology and Computer Science School, Nile University, Egypt"],"affiliations":[{"raw_affiliation_string":"Helwan University, Egypt","institution_ids":["https://openalex.org/I84058292"]},{"raw_affiliation_string":"Information Technology and Computer Science School, Nile University, Egypt","institution_ids":["https://openalex.org/I57629906"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061751653","display_name":"Nancy M. Salem","orcid":"https://orcid.org/0000-0001-7093-2944"},"institutions":[{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Nancy M. Salem","raw_affiliation_strings":["Helwan University, Egypt"],"affiliations":[{"raw_affiliation_string":"Helwan University, Egypt","institution_ids":["https://openalex.org/I84058292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027422162"],"corresponding_institution_ids":["https://openalex.org/I84058292"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.41993464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"165","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8206706047058105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7783697843551636},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7075702548027039},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6985427737236023},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6922932863235474},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5671578645706177},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5187869071960449},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5133182406425476},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5099245309829712},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44595882296562195},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4154108166694641}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8206706047058105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7783697843551636},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7075702548027039},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6985427737236023},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6922932863235474},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5671578645706177},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5187869071960449},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5133182406425476},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5099245309829712},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44595882296562195},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4154108166694641}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/niles53778.2021.9600522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/niles53778.2021.9600522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"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":15,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2522761331","https://openalex.org/W2548342201","https://openalex.org/W2565639579","https://openalex.org/W2895303488","https://openalex.org/W2911823761","https://openalex.org/W2944913849","https://openalex.org/W2947735999","https://openalex.org/W2953421783","https://openalex.org/W2963150697","https://openalex.org/W3014464364","https://openalex.org/W3014831329","https://openalex.org/W6639824700","https://openalex.org/W6762298766","https://openalex.org/W6775752164"],"related_works":["https://openalex.org/W4206951940","https://openalex.org/W4382602594","https://openalex.org/W4387850423","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"The":[0,89,103],"precise":[1],"detection":[2,34,65],"and":[3,22,35,46,66,84,111,132],"segmentation":[4,36,68],"of":[5,26,37,69,77],"cells":[6,38],"in":[7,15,39,92],"microscopic":[8,87],"image":[9],"sequences":[10],"is":[11,49,95,106],"an":[12],"essential":[13],"task":[14],"biomedical":[16],"research,":[17],"such":[18],"as":[19],"drug":[20],"discovery":[21],"studying":[23],"the":[24,33,75,78,98,114,121],"development":[25],"tissues,":[27],"organs,":[28],"or":[29],"entire":[30],"organisms.":[31],"However,":[32],"phase":[40],"contrast":[41],"images":[42],"with":[43],"a":[44],"halo":[45],"shade-off":[47],"effects":[48],"still":[50],"challenging.":[51],"Lately,":[52],"Mask":[53,79,104,122],"Regional":[54],"Convolutional":[55],"Neural":[56],"Network":[57],"(Mask":[58],"R-CNN)":[59],"has":[60],"been":[61],"introduced":[62],"for":[63],"object":[64],"instance":[67],"natural":[70],"images.":[71,88],"This":[72],"study":[73],"investigates":[74],"efficacy":[76],"R-CNN":[80,105,123],"to":[81,113],"instantly":[82],"detect":[83],"segment":[85],"label-free":[86],"dataset":[90],"used":[91],"this":[93],"paper":[94],"taken":[96],"from":[97],"ISBI":[99],"cell":[100],"tracking":[101],"challenge.":[102],"trained":[107],"using":[108,129],"different":[109],"hyperparameters":[110],"compared":[112],"U-Net":[115],"model.":[116],"Experimental":[117],"results":[118],"show":[119],"that":[120],"model":[124],"achieves":[125],"91.6":[126],"%":[127],"when":[128],"ResNet-50":[130],"backbone":[131],"COCO":[133],"weights.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
