{"id":"https://openalex.org/W7133634514","doi":"https://doi.org/10.1109/tcsvt.2026.3670914","title":"Morphology-Guided Muscle Cell Detection and Counting Based on Transfer Learning, FFD Augmentation, and Density-Aware Loss Optimization","display_name":"Morphology-Guided Muscle Cell Detection and Counting Based on Transfer Learning, FFD Augmentation, and Density-Aware Loss Optimization","publication_year":2026,"publication_date":"2026-03-05","ids":{"openalex":"https://openalex.org/W7133634514","doi":"https://doi.org/10.1109/tcsvt.2026.3670914"},"language":null,"primary_location":{"id":"doi:10.1109/tcsvt.2026.3670914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2026.3670914","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","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/A5128215422","display_name":"Hongbing Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbing Qian","raw_affiliation_strings":["School of Information, Renmin University of China, Beijing, P. R., China"],"raw_orcid":"https://orcid.org/0009-0000-5305-2988","affiliations":[{"raw_affiliation_string":"School of Information, Renmin University of China, Beijing, P. R., China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124277879","display_name":"Meiyun Zuo","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiyun Zuo","raw_affiliation_strings":["Big Data and Responsible Artificial Intelligence for National Governance, Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5281-5071","affiliations":[{"raw_affiliation_string":"Big Data and Responsible Artificial Intelligence for National Governance, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5128210389","display_name":"Lixi Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I2802459333","display_name":"China Rehabilitation Research Center","ror":"https://ror.org/02bpqmq41","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802459333"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixi Zhao","raw_affiliation_strings":["Institute of Rehabilitation Medicine, China Rehabilitation Sciences Institute, Beijing, P. R., China"],"raw_orcid":"https://orcid.org/0000-0003-4879-3540","affiliations":[{"raw_affiliation_string":"Institute of Rehabilitation Medicine, China Rehabilitation Sciences Institute, Beijing, P. R., China","institution_ids":["https://openalex.org/I2802459333"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21317717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"7","first_page":"9606","last_page":"9615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.2459000051021576,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.2459000051021576,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.13510000705718994,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.060100000351667404,"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/cell","display_name":"Cell","score":0.32330000400543213},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.2874999940395355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2799000144004822},{"id":"https://openalex.org/keywords/skeletal-muscle","display_name":"Skeletal muscle","score":0.2786000072956085},{"id":"https://openalex.org/keywords/myocyte","display_name":"Myocyte","score":0.27570000290870667}],"concepts":[{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.3596000075340271},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.3522999882698059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34779998660087585},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29600000381469727},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C2779959927","wikidata":"https://www.wikidata.org/wiki/Q1048687","display_name":"Skeletal muscle","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C207200792","wikidata":"https://www.wikidata.org/wiki/Q428914","display_name":"Myocyte","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.26030001044273376}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2026.3670914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2026.3670914","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2475028946","display_name":null,"funder_award_id":"22&ZD328","funder_id":"https://openalex.org/F4320335869","funder_display_name":"National Social Science Fund of China"}],"funders":[{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"biomedical":[1],"research,":[2],"accurate":[3],"detection":[4,47,127],"and":[5,30,48,81],"counting":[6],"of":[7,27,34,113],"cells":[8,96],"in":[9,39],"stained":[10],"soleus":[11,115],"muscle":[12,22,45,67,73,95,101,116,125],"sections":[13],"are":[14],"crucial":[15],"for":[16,44],"understanding":[17],"pathological":[18],"conditions":[19],"such":[20],"as":[21],"atrophy.":[23],"However,":[24],"the":[25,31,92,99],"scarcity":[26],"labeled":[28],"samples":[29],"high":[32],"cost":[33],"manual":[35],"annotation":[36],"pose":[37],"challenges":[38],"applying":[40],"deep":[41],"learning":[42,58],"methods":[43],"cell":[46,64,68,126],"counting.":[49],"To":[50],"address":[51],"these":[52],"issues,":[53],"we":[54,71,103,118],"first":[55],"employ":[56],"transfer":[57],"to":[59,66],"adapt":[60],"knowledge":[61],"from":[62],"blood":[63],"analysis":[65],"detection.":[69],"Second,":[70],"simulate":[72],"stretching":[74],"or":[75],"squeezing":[76],"using":[77],"Free-form":[78],"deformation":[79],"(FFD)":[80],"propose":[82],"a":[83,105],"more":[84],"effective":[85],"data":[86],"augmentation":[87],"strategy.":[88],"Finally,":[89],"by":[90],"leveraging":[91],"fact":[93],"that":[94,120],"cluster":[97],"within":[98],"same":[100],"fascicle,":[102],"design":[104],"density-aware":[106],"loss":[107],"function.":[108],"Using":[109],"limited":[110],"microscopic":[111],"images":[112],"rat":[114],"cells,":[117],"demonstrate":[119],"our":[121],"method":[122],"significantly":[123],"improves":[124],"accuracy.":[128]},"counts_by_year":[],"updated_date":"2026-07-08T06:17:01.165560","created_date":"2026-03-06T00:00:00"}
