{"id":"https://openalex.org/W3126750719","doi":"https://doi.org/10.1109/bibm49941.2020.9313157","title":"Colorectal Cancer Image Segmentation and Classification with Deep Neural Network Based on Information Theory","display_name":"Colorectal Cancer Image Segmentation and Classification with Deep Neural Network Based on Information Theory","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3126750719","doi":"https://doi.org/10.1109/bibm49941.2020.9313157","mag":"3126750719"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5003612221","display_name":"Hwa-Rang Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]},{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hwa-Rang Kim","raw_affiliation_strings":["School of Electronics Engineering Graduate School of Electronic and Electrical Engineering, Kyungpook National University Electronics and Telecommunications Research Institute, Daegu, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering Graduate School of Electronic and Electrical Engineering, Kyungpook National University Electronics and Telecommunications Research Institute, Daegu, South Korea","institution_ids":["https://openalex.org/I142401562","https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064858861","display_name":"Kwang\u2010Ju Kim","orcid":"https://orcid.org/0000-0001-8458-4506"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwang-Ju Kim","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Daegu, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daegu, South Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018290410","display_name":"Kil-Taek Lim","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kil-Taek Lim","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Daegu, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daegu, South Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079530405","display_name":"Doo-Hyun Choi","orcid":"https://orcid.org/0000-0002-4950-8863"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]},{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Doo-Hyun Choi","raw_affiliation_strings":["School of Electronics Engineering Graduate School of Electronic and Electrical Engineering, Kyungpook National University Electronics and Telecommunications Research Institute, Daegu, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering Graduate School of Electronic and Electrical Engineering, Kyungpook National University Electronics and Telecommunications Research Institute, Daegu, South Korea","institution_ids":["https://openalex.org/I142401562","https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2968","last_page":"2970"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9973000288009644,"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":0.9973000288009644,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9944999814033508,"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/T10862","display_name":"AI in cancer detection","score":0.9879999756813049,"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/convolution","display_name":"Convolution (computer science)","score":0.7475479245185852},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7331114411354065},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7134444713592529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6527919769287109},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6361103057861328},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.5960400700569153},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5937415361404419},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5499892830848694},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4974992573261261},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48926302790641785},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44988635182380676},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4426659047603607},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4380960464477539},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43778008222579956},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40843045711517334},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3948454260826111},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06693994998931885}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7475479245185852},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7331114411354065},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7134444713592529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6527919769287109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6361103057861328},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.5960400700569153},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5937415361404419},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5499892830848694},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4974992573261261},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48926302790641785},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44988635182380676},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4426659047603607},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4380960464477539},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43778008222579956},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40843045711517334},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3948454260826111},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06693994998931885},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":0.46000000834465027}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311419","display_name":"Ministry of Health","ror":null},{"id":"https://openalex.org/F4320322093","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1995875735","https://openalex.org/W2194775991","https://openalex.org/W2964309882","https://openalex.org/W2988396473"],"related_works":["https://openalex.org/W2361805396","https://openalex.org/W2972254340","https://openalex.org/W2022231341","https://openalex.org/W1805912688","https://openalex.org/W4255476312","https://openalex.org/W2373973507","https://openalex.org/W4250902763","https://openalex.org/W2351154965","https://openalex.org/W2357579988","https://openalex.org/W2565656575"],"abstract_inverted_index":{"Colorectal":[0],"cancer":[1,7],"(CRC)":[2],"is":[3,46,78,119],"the":[4,9,25,84,90,107,114],"development":[5],"of":[6,27,33,42,104],"from":[8],"colon":[10],"or":[11],"rectum.":[12],"Microsatellite":[13],"instability":[14],"(MSI)":[15],"status":[16],"can":[17,109],"be":[18],"considered":[19],"as":[20],"an":[21],"indicator":[22],"to":[23,57],"predict":[24],"prognosis":[26],"CRC.":[28],"We":[29],"employ":[30],"MSI":[31],"prediction":[32],"CRC":[34],"image":[35],"by":[36],"designing":[37],"a":[38,53,59],"neural":[39],"network":[40,45],"model":[41,108,117],"which":[43],"base":[44],"DeepLabv3+":[47],"with":[48,63],"OctaveResNet.":[49],"Additionally,":[50],"we":[51],"add":[52],"channel":[54,64],"sort":[55],"module":[56],"divide":[58],"feature":[60,68,87,98],"map":[61,69,99],"along":[62],"intensity.":[65],"Then":[66],"each":[67],"goes":[70,88],"through":[71,89],"distinct":[72],"convolution":[73,76,92],"paths.":[74],"Each":[75],"path":[77],"designed":[79],"based":[80],"on":[81],"information":[82],"theory:":[83],"most":[85],"important":[86],"lightest":[91],"path,":[93],"vice":[94],"versa.":[95],"By":[96],"dividing":[97],"and":[100],"applying":[101],"different":[102],"amount":[103],"convolutional":[105],"operation,":[106],"extract":[110],"features":[111],"efficiently.":[112],"In":[113],"experiment,":[115],"total":[116],"weight":[118],"reduced":[120],"but":[121],"accuracy":[122],"increases.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
