{"id":"https://openalex.org/W4404030831","doi":"https://doi.org/10.1109/icccnt61001.2024.10725704","title":"Accurate Quantification of Tumour Volume Using 3D Magnetic Resonance Imaging","display_name":"Accurate Quantification of Tumour Volume Using 3D Magnetic Resonance Imaging","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404030831","doi":"https://doi.org/10.1109/icccnt61001.2024.10725704"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10725704","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10725704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5038804761","display_name":"Deepak Kumar","orcid":"https://orcid.org/0000-0002-8197-0046"},"institutions":[{"id":"https://openalex.org/I4210125057","display_name":"Vivekananda Global University","ror":"https://ror.org/038mz4r36","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210125057"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deepak Kumar","raw_affiliation_strings":["Vivekananda Global University,Department of Mathematics,Jaipur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vivekananda Global University,Department of Mathematics,Jaipur,India","institution_ids":["https://openalex.org/I4210125057"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039262765","display_name":"S Sujai","orcid":null},"institutions":[{"id":"https://openalex.org/I106826634","display_name":"Jain University","ror":"https://ror.org/01cnqpt53","country_code":"IN","type":"education","lineage":["https://openalex.org/I106826634"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sujai S","raw_affiliation_strings":["JAIN (Deemed to be University),School of Engineering and Technology,Department of Mechanical Engineering,Bangalore,Karnataka,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JAIN (Deemed to be University),School of Engineering and Technology,Department of Mechanical Engineering,Bangalore,Karnataka,India","institution_ids":["https://openalex.org/I106826634"]}]},{"author_position":"last","author":{"id":null,"display_name":"Snigdharani Behera","orcid":null},"institutions":[{"id":"https://openalex.org/I106826634","display_name":"Jain University","ror":"https://ror.org/01cnqpt53","country_code":"IN","type":"education","lineage":["https://openalex.org/I106826634"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Snigdharani Behera","raw_affiliation_strings":["ARKA JAIN University,Department of Pharmacy,Jamshedpur,Jharkhand,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ARKA JAIN University,Department of Pharmacy,Jamshedpur,Jharkhand,India","institution_ids":["https://openalex.org/I106826634"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11885","display_name":"MRI in cancer diagnosis","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T11885","display_name":"MRI in cancer diagnosis","score":0.9976999759674072,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9958000183105469,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9882000088691711,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.7307494878768921},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.6638553738594055},{"id":"https://openalex.org/keywords/nuclear-magnetic-resonance","display_name":"Nuclear magnetic resonance","score":0.4744611382484436},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.39560678601264954},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33398759365081787},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.22637969255447388},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19320949912071228},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18681836128234863}],"concepts":[{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.7307494878768921},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.6638553738594055},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.4744611382484436},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.39560678601264954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33398759365081787},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.22637969255447388},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19320949912071228},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18681836128234863},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10725704","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10725704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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":11,"referenced_works":["https://openalex.org/W4312311664","https://openalex.org/W4322775556","https://openalex.org/W4379163602","https://openalex.org/W4383264413","https://openalex.org/W4383428697","https://openalex.org/W4385899150","https://openalex.org/W4387712659","https://openalex.org/W4387712947","https://openalex.org/W4389445642","https://openalex.org/W4394773054","https://openalex.org/W4396918479"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2016187641","https://openalex.org/W2805339068","https://openalex.org/W4246450666","https://openalex.org/W4388998267","https://openalex.org/W2898370298","https://openalex.org/W2137437058","https://openalex.org/W4390401159"],"abstract_inverted_index":{"This":[0],"paper":[1],"provides":[2],"a":[3,73,86,90,125,137,152],"correct":[4,46],"and":[5,35,96,124],"automated":[6,60],"technique":[7,42,82,178],"for":[8,110,133,140],"the":[9,36,40,50,59,63,107,121,134,141,149,176,186,200],"quantification":[10],"of":[11,77,92,127,136,148,195],"tumor":[12,190],"extent":[13,47],"from":[14,28,113,120,166],"three-dimensional":[15],"Magnetic":[16],"Resonance":[17],"Imaging":[18],"(MRI).":[19],"The":[20,79,116,145,172],"method":[21,150],"changed":[22,155],"into":[23,156],"tested":[24],"on":[25,85,158],"MRI":[26,122,164],"datasets":[27],"14":[29,167],"sufferers":[30],"with":[31,89,169],"gloom":[32],"(mind":[33],"tumor),":[34],"effects":[37],"confirmed":[38,174],"that":[39,58,175],"proposed":[41,80,177],"produced":[43],"extensively":[44],"extra":[45],"estimations":[48],"than":[49],"preceding":[51],"manual":[52,182],"segmentation":[53,81,183],"approach.":[54],"It":[55],"was":[56],"found":[57],"approach":[61,202],"progressed":[62],"suggested":[64],"relative":[65,75,187],"blunders":[66,188],"by":[67,193],"fifty":[68],"per":[69],"cent,":[70],"resulting":[71],"in":[72,151,189],"mean":[74],"error":[76],"4.76%.":[78],"is":[83],"based":[84],"random":[87],"forest":[88],"histogram":[91],"orientated":[93],"gradients":[94],"(HOG)":[95],"distance":[97],"transform":[98],"(DT)":[99],"functions,":[100],"which":[101,160],"have":[102],"been":[103],"observed":[104],"to":[105,199],"be":[106],"only":[108],"capabilities":[109],"distinguishing":[111],"tumors":[112],"wholesome":[114],"tissue.":[115],"functions":[117],"are":[118,130],"extracted":[119],"slices,":[123],"fixed":[126],"inner":[128],"variables":[129],"then":[131],"optimized":[132],"usage":[135],"genetic":[138],"algorithm":[139],"top-quality":[142],"RF":[143],"parameters.":[144],"overall":[146],"performance":[147],"clinical":[153],"placing":[154],"assessed":[157],"datasets,":[159],"include":[161],"three-D":[162],"T1-weighted":[163],"scans":[165],"patients":[168],"brain":[170],"tumors.":[171],"consequences":[173],"favored":[179],"automation":[180],"over":[181],"strategies,":[184],"decreasing":[185],"quantity":[191],"estimation":[192],"means":[194],"fifty-five.":[196],"2%":[197],"compared":[198],"conventional":[201]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
