{"id":"https://openalex.org/W2521537533","doi":"https://doi.org/10.1007/978-3-319-46976-8_20","title":"Understanding the Mechanisms of Deep Transfer Learning for Medical Images","display_name":"Understanding the Mechanisms of Deep Transfer Learning for Medical Images","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2521537533","doi":"https://doi.org/10.1007/978-3-319-46976-8_20","mag":"2521537533"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-46976-8_20","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-46976-8_20","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5066553180","display_name":"Hariharan Ravishankar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142581","display_name":"General Electric (India)","ror":"https://ror.org/04dd9ss52","country_code":"IN","type":"company","lineage":["https://openalex.org/I1332737386","https://openalex.org/I4210142581"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Hariharan Ravishankar","raw_affiliation_strings":["GE Global Research, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"GE Global Research, Bangalore, India","institution_ids":["https://openalex.org/I4210142581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103871237","display_name":"Prasad Sudhakar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142581","display_name":"General Electric (India)","ror":"https://ror.org/04dd9ss52","country_code":"IN","type":"company","lineage":["https://openalex.org/I1332737386","https://openalex.org/I4210142581"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prasad Sudhakar","raw_affiliation_strings":["GE Global Research, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"GE Global Research, Bangalore, India","institution_ids":["https://openalex.org/I4210142581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044577575","display_name":"Rahul Venkataramani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142581","display_name":"General Electric (India)","ror":"https://ror.org/04dd9ss52","country_code":"IN","type":"company","lineage":["https://openalex.org/I1332737386","https://openalex.org/I4210142581"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rahul Venkataramani","raw_affiliation_strings":["GE Global Research, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"GE Global Research, Bangalore, India","institution_ids":["https://openalex.org/I4210142581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055570949","display_name":"Sheshadri Thiruvenkadam","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142581","display_name":"General Electric (India)","ror":"https://ror.org/04dd9ss52","country_code":"IN","type":"company","lineage":["https://openalex.org/I1332737386","https://openalex.org/I4210142581"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sheshadri Thiruvenkadam","raw_affiliation_strings":["GE Global Research, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"GE Global Research, Bangalore, India","institution_ids":["https://openalex.org/I4210142581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050792867","display_name":"Pavan Annangi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142581","display_name":"General Electric (India)","ror":"https://ror.org/04dd9ss52","country_code":"IN","type":"company","lineage":["https://openalex.org/I1332737386","https://openalex.org/I4210142581"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pavan Annangi","raw_affiliation_strings":["GE Global Research, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"GE Global Research, Bangalore, India","institution_ids":["https://openalex.org/I4210142581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033294109","display_name":"Narayanan Babu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142581","display_name":"General Electric (India)","ror":"https://ror.org/04dd9ss52","country_code":"IN","type":"company","lineage":["https://openalex.org/I1332737386","https://openalex.org/I4210142581"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Narayanan Babu","raw_affiliation_strings":["GE Global Research, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"GE Global Research, Bangalore, India","institution_ids":["https://openalex.org/I4210142581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112288363","display_name":"Vivek Vaidya","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142581","display_name":"General Electric (India)","ror":"https://ror.org/04dd9ss52","country_code":"IN","type":"company","lineage":["https://openalex.org/I1332737386","https://openalex.org/I4210142581"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vivek Vaidya","raw_affiliation_strings":["GE Global Research, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"GE Global Research, Bangalore, India","institution_ids":["https://openalex.org/I4210142581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5066553180"],"corresponding_institution_ids":["https://openalex.org/I4210142581"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":5.7762,"has_fulltext":false,"cited_by_count":187,"citation_normalized_percentile":{"value":0.97286822,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"188","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9945999979972839,"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":0.9944000244140625,"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/computer-science","display_name":"Computer science","score":0.8885889649391174},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.8296060562133789},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7297842502593994},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7026839256286621},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6737300157546997},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.608116865158081},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6019294857978821},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5121638774871826},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.501317024230957},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4599840044975281},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44402629137039185},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.429837167263031},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41377830505371094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8885889649391174},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.8296060562133789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7297842502593994},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7026839256286621},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6737300157546997},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.608116865158081},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6019294857978821},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5121638774871826},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.501317024230957},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4599840044975281},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44402629137039185},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.429837167263031},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41377830505371094},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-46976-8_20","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-46976-8_20","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1494799104","https://openalex.org/W1602329357","https://openalex.org/W1924902684","https://openalex.org/W2003282940","https://openalex.org/W2033240144","https://openalex.org/W2061715187","https://openalex.org/W2097725016","https://openalex.org/W2101458918","https://openalex.org/W2102605133","https://openalex.org/W2120023383","https://openalex.org/W2123410556","https://openalex.org/W2129018774","https://openalex.org/W2129094346","https://openalex.org/W2129534965","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2175082661","https://openalex.org/W2216351247","https://openalex.org/W2253429366","https://openalex.org/W2294712740","https://openalex.org/W2330631454","https://openalex.org/W2346062110","https://openalex.org/W2399244897","https://openalex.org/W2949667497"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W3183901164","https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3192840557","https://openalex.org/W3103566983","https://openalex.org/W3135818718","https://openalex.org/W4290188444"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":32},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":11}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}