{"id":"https://openalex.org/W2511945703","doi":"https://doi.org/10.1109/icip.2016.7532841","title":"Automatic quantification and classification of cervical cancer via Adaptive Nucleus Shape Modeling","display_name":"Automatic quantification and classification of cervical cancer via Adaptive Nucleus Shape Modeling","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2511945703","doi":"https://doi.org/10.1109/icip.2016.7532841","mag":"2511945703"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5068090976","display_name":"Hady Ahmady Phoulady","orcid":"https://orcid.org/0000-0002-3215-7630"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hady Ahmady Phoulady","raw_affiliation_strings":["University of South Florida, Tampa, FL, US"],"affiliations":[{"raw_affiliation_string":"University of South Florida, Tampa, FL, US","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037835022","display_name":"Mu Zhou","orcid":"https://orcid.org/0000-0003-3533-2227"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mu Zhou","raw_affiliation_strings":["Stanford University, Stanford, CA"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053211631","display_name":"Dmitry B. Goldgof","orcid":"https://orcid.org/0000-0001-5461-863X"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dmitry B. Goldgof","raw_affiliation_strings":["University University of South Florida, Tampa, FL"],"affiliations":[{"raw_affiliation_string":"University University of South Florida, Tampa, FL","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000168449","display_name":"Lawrence Hall","orcid":"https://orcid.org/0000-0002-7898-8456"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence O. Hall","raw_affiliation_strings":["University University of South Florida, Tampa, FL"],"affiliations":[{"raw_affiliation_string":"University University of South Florida, Tampa, FL","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038456790","display_name":"Peter R. Mouton","orcid":"https://orcid.org/0000-0002-1008-4055"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter R. Mouton","raw_affiliation_strings":["University University of South Florida, Tampa, FL"],"affiliations":[{"raw_affiliation_string":"University University of South Florida, Tampa, FL","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068090976"],"corresponding_institution_ids":["https://openalex.org/I2613432"],"apc_list":null,"apc_paid":null,"fwci":3.8563,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.94313803,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2658","last_page":"2662"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9993000030517578,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.992900013923645,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9915000200271606,"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/thresholding","display_name":"Thresholding","score":0.8358492255210876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7177705764770508},{"id":"https://openalex.org/keywords/nucleus","display_name":"Nucleus","score":0.69786536693573},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6768883466720581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6216001510620117},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5728359222412109},{"id":"https://openalex.org/keywords/cervical-cancer","display_name":"Cervical cancer","score":0.5303851962089539},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.48613426089286804},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.45316943526268005},{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.44723889231681824},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3843216598033905},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36770564317703247},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3198116421699524},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23292386531829834},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17770159244537354},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11673852801322937},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07495108246803284}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.8358492255210876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7177705764770508},{"id":"https://openalex.org/C2780723820","wikidata":"https://www.wikidata.org/wiki/Q1934178","display_name":"Nucleus","level":2,"score":0.69786536693573},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6768883466720581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6216001510620117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5728359222412109},{"id":"https://openalex.org/C2778220009","wikidata":"https://www.wikidata.org/wiki/Q160105","display_name":"Cervical cancer","level":3,"score":0.5303851962089539},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.48613426089286804},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.45316943526268005},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.44723889231681824},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3843216598033905},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36770564317703247},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3198116421699524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23292386531829834},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17770159244537354},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11673852801322937},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07495108246803284},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.75}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306155","display_name":"Cancer Research Institute","ror":"https://ror.org/02f3xk561"},{"id":"https://openalex.org/F4320311073","display_name":"Moffitt Cancer Center","ror":"https://ror.org/01xf75524"},{"id":"https://openalex.org/F4320324526","display_name":"Agence Nationale de S\u00e9curit\u00e9 du M\u00e9dicament et des Produits de Sant\u00e9","ror":"https://ror.org/01g80gk13"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W112053056","https://openalex.org/W134688180","https://openalex.org/W1516417927","https://openalex.org/W1749523610","https://openalex.org/W1945243521","https://openalex.org/W1969624577","https://openalex.org/W1984372368","https://openalex.org/W2001810343","https://openalex.org/W2014364573","https://openalex.org/W2052307609","https://openalex.org/W2066032304","https://openalex.org/W2081578499","https://openalex.org/W2089580584","https://openalex.org/W2097018403","https://openalex.org/W2138957397","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2168356304","https://openalex.org/W6604556738","https://openalex.org/W6650787513","https://openalex.org/W6680396984"],"related_works":["https://openalex.org/W2072834229","https://openalex.org/W2517104666","https://openalex.org/W2347731544","https://openalex.org/W2411367154","https://openalex.org/W2005437358","https://openalex.org/W1669643531","https://openalex.org/W2008656436","https://openalex.org/W2791121587","https://openalex.org/W2536634271","https://openalex.org/W2118331541"],"abstract_inverted_index":{"Decisions":[0],"about":[1],"cervical":[2,12,107,122],"cancer":[3,104],"diagnosis":[4],"and":[5,67,105],"classification":[6],"currently":[7],"require":[8],"microscopic":[9],"examination":[10],"of":[11,27,55,93,100],"tissue":[13,83],"by":[14,70],"an":[15,91],"expert":[16],"pathologist.":[17],"In":[18],"the":[19,60,75,78],"present":[20],"study,":[21],"which":[22,53],"focused":[23],"on":[24],"full":[25],"automation":[26],"this":[28],"approach,":[29],"we":[30],"solely":[31],"use":[32],"nucleus-level":[33,51,61,117],"features":[34,79],"to":[35,58],"classify":[36],"tissues":[37,108],"as":[38],"normal":[39],"or":[40],"cancer.":[41],"We":[42],"propose":[43],"Adaptive":[44],"Nucleus":[45],"Shape":[46],"Modeling":[47],"(ANSM)":[48],"algorithm":[49],"for":[50,82],"analysis":[52,118],"consists":[54],"two":[56],"steps":[57],"capture":[59],"information:":[62],"adaptive":[63],"multilevel":[64],"thresholding":[65],"segmentation;":[66],"shape":[68],"approximation":[69],"ellipse":[71],"fitting.":[72],"After":[73],"applying":[74],"proposed":[76],"algorithm,":[77],"are":[80],"extracted":[81],"classification.":[84],"Experiments":[85],"show":[86],"that":[87,116],"ANSM":[88],"can":[89],"achieve":[90],"accuracy":[92],"93.33%":[94],"with":[95],"a":[96],"false":[97],"negative":[98],"rate":[99],"zero":[101],"in":[102,121],"classifying":[103],"healthy":[106],"using":[109],"nucleus":[110],"texture":[111],"features.":[112],"This":[113],"provides":[114],"evidence":[115],"is":[119],"valuable":[120],"histology":[123],"image":[124],"analysis.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}