{"id":"https://openalex.org/W3128901289","doi":"https://doi.org/10.1109/aiccsa50499.2020.9316501","title":"3D Brain Image Segmentation Model using Deep Learning and Hidden Markov Random Fields","display_name":"3D Brain Image Segmentation Model using Deep Learning and Hidden Markov Random Fields","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3128901289","doi":"https://doi.org/10.1109/aiccsa50499.2020.9316501","mag":"3128901289"},"language":"en","primary_location":{"id":"doi:10.1109/aiccsa50499.2020.9316501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa50499.2020.9316501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/ACS 17th International Conference on Computer Systems and Applications (AICCSA)","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/A5065501655","display_name":"El-Hachemi Guerrout","orcid":"https://orcid.org/0000-0002-8957-4611"},"institutions":[{"id":"https://openalex.org/I4210149016","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'Informatique","ror":"https://ror.org/04dj1dn66","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210149016"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"El-Hachemi Guerrout","raw_affiliation_strings":["Laboratoire LMCS, \u00e9cole nationale Sup\u00e9rieure en Informatique, Algiers, Algeria"],"affiliations":[{"raw_affiliation_string":"Laboratoire LMCS, \u00e9cole nationale Sup\u00e9rieure en Informatique, Algiers, Algeria","institution_ids":["https://openalex.org/I4210149016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061336453","display_name":"Ramdane Mahiou","orcid":"https://orcid.org/0000-0003-2168-3640"},"institutions":[{"id":"https://openalex.org/I4210149016","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'Informatique","ror":"https://ror.org/04dj1dn66","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210149016"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Ramdane Mahiou","raw_affiliation_strings":["Laboratoire LMCS, \u00e9cole nationale Sup\u00e9rieure en Informatique, Algiers, Algeria"],"affiliations":[{"raw_affiliation_string":"Laboratoire LMCS, \u00e9cole nationale Sup\u00e9rieure en Informatique, Algiers, Algeria","institution_ids":["https://openalex.org/I4210149016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054728272","display_name":"Anfel Melouk","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149016","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'Informatique","ror":"https://ror.org/04dj1dn66","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210149016"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Anfel Melouk","raw_affiliation_strings":["Laboratoire LMCS, \u00e9cole nationale Sup\u00e9rieure en Informatique, Algiers, Algeria"],"affiliations":[{"raw_affiliation_string":"Laboratoire LMCS, \u00e9cole nationale Sup\u00e9rieure en Informatique, Algiers, Algeria","institution_ids":["https://openalex.org/I4210149016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045916037","display_name":"Ines Harmali","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149016","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'Informatique","ror":"https://ror.org/04dj1dn66","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210149016"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Ines Harmali","raw_affiliation_strings":["Laboratoire LMCS, \u00e9cole nationale Sup\u00e9rieure en Informatique, Algiers, Algeria"],"affiliations":[{"raw_affiliation_string":"Laboratoire LMCS, \u00e9cole nationale Sup\u00e9rieure en Informatique, Algiers, Algeria","institution_ids":["https://openalex.org/I4210149016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065501655"],"corresponding_institution_ids":["https://openalex.org/I4210149016"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17653089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9979000091552734,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8150853514671326},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7244758009910583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6760702133178711},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6653691530227661},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6402249336242676},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6397782564163208},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5669686794281006},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5098583102226257},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5087693333625793},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.4867815673351288},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.484636127948761},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44537076354026794},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.44141268730163574},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40510693192481995}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8150853514671326},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7244758009910583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6760702133178711},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6653691530227661},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6402249336242676},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6397782564163208},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5669686794281006},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5098583102226257},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5087693333625793},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.4867815673351288},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.484636127948761},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44537076354026794},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.44141268730163574},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40510693192481995},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiccsa50499.2020.9316501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa50499.2020.9316501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/ACS 17th International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1987869189","https://openalex.org/W1993802245","https://openalex.org/W2006096283","https://openalex.org/W2020999234","https://openalex.org/W2028929928","https://openalex.org/W2070949043","https://openalex.org/W2076063813","https://openalex.org/W2110638237","https://openalex.org/W2117130368","https://openalex.org/W2135745053","https://openalex.org/W2136573752","https://openalex.org/W2167925415","https://openalex.org/W2194775991","https://openalex.org/W2343652341","https://openalex.org/W2414162830","https://openalex.org/W2533800772","https://openalex.org/W2592929672","https://openalex.org/W2737140797","https://openalex.org/W2742947407","https://openalex.org/W2774060754","https://openalex.org/W2786316148","https://openalex.org/W2884001105","https://openalex.org/W2919115771","https://openalex.org/W2977883299","https://openalex.org/W2981022124","https://openalex.org/W3023631971","https://openalex.org/W3028122717","https://openalex.org/W3091905774","https://openalex.org/W4237604762","https://openalex.org/W6783596713"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W80586315","https://openalex.org/W4205800335","https://openalex.org/W4233585817"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,106],"new":[6],"brain":[7,24],"image":[8,61],"segmentation":[9,89,141],"model":[10,104,131],"(DL-HMRF)":[11],"using":[12,64,93],"deep":[13],"learning":[14],"and":[15,34,82,142],"hidden":[16,55],"Markov":[17,56],"random":[18,57],"fields":[19,58],"(HMRFs).":[20],"That":[21],"segments":[22],"the":[23,46,94,99,102,120,124,129,138],"images":[25,74],"into":[26],"different":[27,116],"tissue":[28],"types":[29],"(Grey":[30],"Matter,":[31,33],"White":[32],"Cerebro":[35],"Spinal":[36],"Fluid)":[37],"in":[38,108,135],"order":[39],"to":[40,43,59,80,118],"help":[41],"physicians":[42],"determine":[44],"easily":[45],"final":[47],"decision.":[48],"The":[49,86],"underlying":[50],"method":[51],"is":[52,90,105],"based":[53],"on":[54],"extract":[60],"features":[62],"for":[63],"them":[65],"as":[66],"inputs":[67],"of":[68,88,101,137,140],"our":[69,84],"neural":[70],"network":[71],"model.":[72,85],"IBSR":[73],"with":[75,115],"their":[76],"ground-truth":[77],"are":[78],"used":[79],"train":[81],"evaluate":[83],"quality":[87,139],"measured":[91],"by":[92],"Dice":[95],"coefficient":[96],"metric.":[97],"Setting":[98],"parameters":[100,117],"DL-HMRF":[103],"task":[107],"itself.":[109],"We":[110],"have":[111],"generated":[112],"six":[113],"models":[114],"select":[119],"one":[121],"that":[122],"gives":[123],"best":[125],"segmentation.":[126],"Through":[127],"tests,":[128],"selected":[130],"shows":[132],"excellent":[133],"results":[134],"terms":[136],"execution":[143],"time.":[144]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
