{"id":"https://openalex.org/W4393970289","doi":"https://doi.org/10.1145/3644116.3644142","title":"Research Progress of Deep Learning Based Medical Image Classification Techniques","display_name":"Research Progress of Deep Learning Based Medical Image Classification Techniques","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4393970289","doi":"https://doi.org/10.1145/3644116.3644142"},"language":"en","primary_location":{"id":"doi:10.1145/3644116.3644142","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3644116.3644142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science","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/A5103136249","display_name":"Chenlu Lin","orcid":"https://orcid.org/0009-0002-2490-7363"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenlu Lin","raw_affiliation_strings":["School of Advanced Manufacturing, Fuzhou University, China"],"raw_orcid":"https://orcid.org/0009-0002-2490-7363","affiliations":[{"raw_affiliation_string":"School of Advanced Manufacturing, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103136249"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2805513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"136","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9799000024795532,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.973800003528595,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6926945447921753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5769342184066772},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5402644872665405},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5128755569458008},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3961094617843628},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3859196603298187},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32244786620140076}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6926945447921753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5769342184066772},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5402644872665405},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5128755569458008},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3961094617843628},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3859196603298187},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32244786620140076}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3644116.3644142","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3644116.3644142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2549139847","https://openalex.org/W2806001242","https://openalex.org/W2912354537","https://openalex.org/W2946948417","https://openalex.org/W2963446712","https://openalex.org/W2979966992","https://openalex.org/W3004707432","https://openalex.org/W3024005803","https://openalex.org/W3033382446","https://openalex.org/W3145444543","https://openalex.org/W4283834068","https://openalex.org/W4367624810"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4304166257","https://openalex.org/W4294635752","https://openalex.org/W4380075502","https://openalex.org/W2795259429","https://openalex.org/W2291489469","https://openalex.org/W2546503577"],"abstract_inverted_index":{"In":[0,33],"recent":[1,83],"years,":[2],"with":[3],"the":[4,37,40,60,75],"gradual":[5],"deepening":[6],"of":[7,23,39,43],"deep":[8,55,67],"learning":[9],"technology,":[10],"medical":[11,80],"image":[12,44],"classification":[13,62],"technology":[14,53],"has":[15],"had":[16],"a":[17,21,69],"rapid":[18],"development,":[19],"and":[20,26,54,74],"number":[22],"classical":[24],"models":[25],"algorithms":[27],"have":[28],"emerged":[29],"one":[30],"after":[31],"another.":[32],"this":[34],"paper,":[35],"from":[36],"perspective":[38],"technical":[41],"development":[42],"classification,":[45],"it":[46],"is":[47,72],"divided":[48],"into":[49],"two":[50],"categories:":[51],"traditional":[52],"learning-based":[56],"technology.":[57],"Focusing":[58],"on":[59,66],"typical":[61],"network":[63],"architecture":[64],"based":[65],"learning,":[68],"comprehensive":[70],"analysis":[71],"made,":[73],"processing":[76],"approaches":[77],"proposed":[78],"for":[79],"images":[81],"in":[82],"years":[84],"are":[85],"sorted":[86],"out.":[87]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}