{"id":"https://openalex.org/W7162303728","doi":"https://doi.org/10.1016/j.bspc.2026.110677","title":"CM-SAM: Chaos-enhanced hybrid encoder for medical image segmentation with segment anything model","display_name":"CM-SAM: Chaos-enhanced hybrid encoder for medical image segmentation with segment anything model","publication_year":2026,"publication_date":"2026-05-25","ids":{"openalex":"https://openalex.org/W7162303728","doi":"https://doi.org/10.1016/j.bspc.2026.110677"},"language":"en","primary_location":{"id":"doi:10.1016/j.bspc.2026.110677","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.bspc.2026.110677","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-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/A5123633828","display_name":"Jiexin Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]},{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiexin Liang","raw_affiliation_strings":["School of Electronic and Information Engineering, Wuyi University, Jiangmen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Wuyi University, Jiangmen, Guangdong, China","institution_ids":["https://openalex.org/I98834328","https://openalex.org/I4210151615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136989219","display_name":"Yue Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]},{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Feng","raw_affiliation_strings":["School of Electronic and Information Engineering, Wuyi University, Jiangmen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Wuyi University, Jiangmen, Guangdong, China","institution_ids":["https://openalex.org/I98834328","https://openalex.org/I4210151615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026043071","display_name":"Zhuosheng Lin","orcid":"https://orcid.org/0000-0001-5963-8525"},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]},{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuosheng Lin","raw_affiliation_strings":["School of Electronic and Information Engineering, Wuyi University, Jiangmen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Wuyi University, Jiangmen, Guangdong, China","institution_ids":["https://openalex.org/I98834328","https://openalex.org/I4210151615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136927773","display_name":"Tao Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]},{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Chen","raw_affiliation_strings":["School of Electronic and Information Engineering, Wuyi University, Jiangmen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Wuyi University, Jiangmen, Guangdong, China","institution_ids":["https://openalex.org/I98834328","https://openalex.org/I4210151615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102897401","display_name":"Tiancai Wen","orcid":"https://orcid.org/0000-0002-7102-2210"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiancai Wen","raw_affiliation_strings":["Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5136989219"],"corresponding_institution_ids":["https://openalex.org/I4210151615","https://openalex.org/I98834328"],"apc_list":{"value":2420,"currency":"USD","value_usd":2420},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.93719453,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"124","issue":null,"first_page":"110677","last_page":"110677"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.31310001015663147,"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":0.31310001015663147,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.10339999943971634,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.10300000011920929,"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/segmentation","display_name":"Segmentation","score":0.578000009059906},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5425999760627747},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49810001254081726},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.47940000891685486},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4675000011920929},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4309000074863434},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.4189000129699707},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.39489999413490295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8467000126838684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7038999795913696},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.578000009059906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5425999760627747},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49810001254081726},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.47940000891685486},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4675000011920929},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4496000111103058},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4309000074863434},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.4189000129699707},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.39489999413490295},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37400001287460327},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.36399999260902405},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.35359999537467957},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3490999937057495},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3107999861240387},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3077000081539154},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2556000053882599}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.bspc.2026.110677","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.bspc.2026.110677","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5344496965408325,"id":"https://metadata.un.org/sdg/10"},{"display_name":"Peace, Justice and strong institutions","score":0.4212910830974579,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1994421844","https://openalex.org/W2003267869","https://openalex.org/W2010382953","https://openalex.org/W2194775991","https://openalex.org/W2752782242","https://openalex.org/W2884585870","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W3034429256","https://openalex.org/W3034552520","https://openalex.org/W3173919353","https://openalex.org/W3199003182","https://openalex.org/W4226495087","https://openalex.org/W4226512186","https://openalex.org/W4311178554","https://openalex.org/W4312443924","https://openalex.org/W4313897319","https://openalex.org/W4319300365","https://openalex.org/W4386498501","https://openalex.org/W4387212994","https://openalex.org/W4387866574","https://openalex.org/W4390189930","https://openalex.org/W4390190100","https://openalex.org/W4390873131","https://openalex.org/W4390874575","https://openalex.org/W4390968113","https://openalex.org/W4391042840","https://openalex.org/W4391109864","https://openalex.org/W4391305681","https://openalex.org/W4391465278","https://openalex.org/W4393851152","https://openalex.org/W4396973073","https://openalex.org/W4399556720","https://openalex.org/W4402916591","https://openalex.org/W4404171396","https://openalex.org/W4404788830","https://openalex.org/W4411541132","https://openalex.org/W7125599726"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-05-27T06:14:07.914337","created_date":"2026-05-26T00:00:00"}
