{"id":"https://openalex.org/W2756345446","doi":"https://doi.org/10.1109/icip.2017.8297121","title":"Automated 3D muscle segmentation from MRI data using convolutional neural network","display_name":"Automated 3D muscle segmentation from MRI data using convolutional neural network","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2756345446","doi":"https://doi.org/10.1109/icip.2017.8297121","mag":"2756345446"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8297121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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/A5029876399","display_name":"Shrimanti Ghosh","orcid":"https://orcid.org/0000-0003-0659-0147"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shrimanti Ghosh","raw_affiliation_strings":["Dept. of Computing Science, University of Alberta, Edmonton, Alberta, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computing Science, University of Alberta, Edmonton, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057616484","display_name":"Pierre Boulanger","orcid":"https://orcid.org/0000-0002-4219-1699"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Pierre Boulanger","raw_affiliation_strings":["Dept. of Computing Science, University of Alberta, Edmonton, Alberta, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computing Science, University of Alberta, Edmonton, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034452294","display_name":"Scott T. Acton","orcid":"https://orcid.org/0000-0003-3288-1255"},"institutions":[{"id":"https://openalex.org/I4210115070","display_name":"American Mandarin Society","ror":"https://ror.org/02f8pzn71","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210115070"]},{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott T. Acton","raw_affiliation_strings":["Dept. of Electrical & Computer Engineering, University of Virginia, USA","Dept. of Biomedical Engineering, University of Virginia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, University of Virginia, USA","institution_ids":["https://openalex.org/I4210115070"]},{"raw_affiliation_string":"Dept. of Biomedical Engineering, University of Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103257435","display_name":"Silvia S. Blemker","orcid":"https://orcid.org/0000-0002-7821-2965"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Silvia S. Blemker","raw_affiliation_strings":["Dept. of Biomedical Engineering, University of Virginia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Biomedical Engineering, University of Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082800075","display_name":"Nilanjan Ray","orcid":"https://orcid.org/0000-0002-7588-5400"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nilanjan Ray","raw_affiliation_strings":["Dept. of Computing Science, University of Alberta, Edmonton, Alberta, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computing Science, University of Alberta, Edmonton, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4437","last_page":"4441"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"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":0.9990000128746033,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9839000105857849,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8260201215744019},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.797119140625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7878017425537109},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7328938245773315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6364228129386902},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6033816933631897},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5724211931228638},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5450849533081055},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.5127190351486206},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4962020516395569},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47773808240890503},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14047205448150635}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8260201215744019},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.797119140625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7878017425537109},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7328938245773315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6364228129386902},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6033816933631897},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5724211931228638},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5450849533081055},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.5127190351486206},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4962020516395569},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47773808240890503},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14047205448150635},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8297121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W165517213","https://openalex.org/W1546663229","https://openalex.org/W1962346950","https://openalex.org/W2029468539","https://openalex.org/W2064681073","https://openalex.org/W2067418953","https://openalex.org/W2079377097","https://openalex.org/W2108598243","https://openalex.org/W2117539524","https://openalex.org/W2129352804","https://openalex.org/W2152826865","https://openalex.org/W2162583443","https://openalex.org/W2163605009","https://openalex.org/W2234163201","https://openalex.org/W3101287485","https://openalex.org/W6676297131","https://openalex.org/W6677651945","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W3104750253","https://openalex.org/W3021239166","https://openalex.org/W2586273397","https://openalex.org/W2390936256","https://openalex.org/W2016385589","https://openalex.org/W2009559548","https://openalex.org/W2483429559","https://openalex.org/W2890643743","https://openalex.org/W4366341510","https://openalex.org/W2906397153"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,55],"propose":[4],"an":[5,99],"automated":[6],"segmentation":[7,116,126,130],"algorithm":[8],"for":[9],"human":[10,31],"leg":[11,32,89],"muscles":[12],"from":[13,47],"3D":[14,30,49,88],"MRI":[15],"data":[16],"using":[17,134],"a":[18,25,29,57,64,72,87,142],"deep":[19],"convolutional":[20],"neural":[21],"network":[22],"(CNN).":[23],"Using":[24],"generalized":[26],"cylinder":[27],"model,":[28,137],"muscle":[33,90],"is":[34,61,76,96,132],"represented":[35],"by":[36,79],"two":[37,45,83],"smooth":[38],"2D":[39,84],"images.":[40],"The":[41,69,118],"CNN":[42,94,104,136],"predicts":[43,71],"these":[44],"images":[46,85],"raw":[48],"voxels.":[50],"For":[51],"our":[52,135],"base":[53],"CNN,":[54],"use":[56],"pre-trained":[58],"AlexNet":[59,70],"that":[60],"coupled":[62],"with":[63],"principle":[65],"components":[66],"analysis":[67],"(PCA)-head.":[68],"compressed":[73],"vector,":[74],"which":[75],"then":[77],"back-projected":[78],"the":[80,106,110,123,128,139],"PCA-head":[81],"into":[82],"representing":[86],"boundary.":[91],"This":[92],"structured-output":[93],"architecture":[95],"fine-tuned":[97],"in":[98],"end-to-end":[100],"fashion.":[101],"Our":[102],"proposed":[103],"outperforms":[105],"conventional":[107],"model-based":[108],"approach,":[109],"active":[111],"appearance":[112],"model":[113],"(AAM)":[114],"image":[115,131],"algorithm.":[117],"average":[119],"Dice":[120,143],"score":[121,144],"between":[122],"ground":[124],"truth":[125],"and":[127],"obtained":[129],"0.85":[133],"whereas":[138],"AAM":[140],"yields":[141],"of":[145],"0.60.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}