{"id":"https://openalex.org/W4403244366","doi":"https://doi.org/10.4108/eetismla.5410","title":"Diagnosis of Glioma, Menigioma and Pituitary brain tumor using MRI images recognition by Deep learning in Python","display_name":"Diagnosis of Glioma, Menigioma and Pituitary brain tumor using MRI images recognition by Deep learning in Python","publication_year":2024,"publication_date":"2024-04-15","ids":{"openalex":"https://openalex.org/W4403244366","doi":"https://doi.org/10.4108/eetismla.5410"},"language":"en","primary_location":{"id":"doi:10.4108/eetismla.5410","doi":"https://doi.org/10.4108/eetismla.5410","is_oa":true,"landing_page_url":"https://doi.org/10.4108/eetismla.5410","pdf_url":"https://publications.eai.eu/index.php/ismla/article/download/5410/3157","source":{"id":"https://openalex.org/S4404676465","display_name":"EAI endorsed transactions on intelligent systems and machine learning applications.","issn_l":"3008-0940","issn":["3008-0940"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310321145","host_organization_name":"European Alliance for Innovation","host_organization_lineage":["https://openalex.org/P4310321145"],"host_organization_lineage_names":["European Alliance for Innovation"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EAI Endorsed Transactions on Intelligent Systems and Machine Learning Applications","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://publications.eai.eu/index.php/ismla/article/download/5410/3157","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094119763","display_name":"Seyed Masoud Ghoreishi Mokri","orcid":"https://orcid.org/0009-0000-1884-4867","observed_orcids":["https://orcid.org/0009-0000-1884-4867"]},"institutions":[{"id":"https://openalex.org/I100051649","display_name":"Privolzhsky Research Medical University","ror":"https://ror.org/00apdsa62","country_code":"RU","type":"education","lineage":["https://openalex.org/I100051649"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Seyed Masoud Ghoreishi Mokri","raw_affiliation_strings":["Privolzhsky Research Medical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Privolzhsky Research Medical University","institution_ids":["https://openalex.org/I100051649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093024759","display_name":"Newsha Valadbeygi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I204588832","display_name":"Islamic Azad University, Karaj","ror":"https://ror.org/01y4xm534","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I204588832"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Newsha Valadbeygi","raw_affiliation_strings":["Islamic Azad University, Karaj"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Islamic Azad University, Karaj","institution_ids":["https://openalex.org/I204588832"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108606619","display_name":"V. N. Grigoryeva","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vera Grigoryeva","raw_affiliation_strings":["Nizhny Novgorod State Medical Academy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nizhny Novgorod State Medical Academy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5993,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.83438972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"1","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":1.0,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":1.0,"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/T10862","display_name":"AI in cancer detection","score":9.999999747378752e-05,"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/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/brain-tumor-classification","display_name":"brain tumor classification","score":0.7620000243186951},{"id":"https://openalex.org/keywords/glioma","display_name":"glioma","score":0.9940000176429749},{"id":"https://openalex.org/keywords/meningioma","display_name":"meningioma","score":0.9449999928474426},{"id":"https://openalex.org/keywords/pituitary-tumors","display_name":"pituitary tumors","score":0.9919999837875366},{"id":"https://openalex.org/keywords/mri-image-analysis","display_name":"MRI image analysis","score":0.7160000205039978},{"id":"https://openalex.org/keywords/tumor-segmentation","display_name":"tumor segmentation","score":0.8169999718666077},{"id":"https://openalex.org/keywords/tumor-size-measurement","display_name":"tumor size measurement","score":0.8169999718666077},{"id":"https://openalex.org/keywords/tumor-grade-assessment","display_name":"tumor grade assessment","score":0.5529999732971191},{"id":"https://openalex.org/keywords/texture-features","display_name":"texture features","score":0.5559999942779541},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7609999775886536},{"id":"https://openalex.org/keywords/medical-image-recognition","display_name":"medical image recognition","score":0.6710000038146973}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.76611328125},{"id":"https://openalex.org/C2778227246","wikidata":"https://www.wikidata.org/wiki/Q1365309","display_name":"Glioma","level":2,"score":0.6223106980323792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5140162706375122},{"id":"https://openalex.org/C2779130545","wikidata":"https://www.wikidata.org/wiki/Q233309","display_name":"Brain tumor","level":2,"score":0.4966285824775696},{"id":"https://openalex.org/C2781449511","wikidata":"https://www.wikidata.org/wiki/Q864296","display_name":"Pituitary tumors","level":2,"score":0.49415209889411926},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42757177352905273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4155787229537964},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3911744952201843},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3642319142818451},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.3288770914077759},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.30383849143981934},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.12887367606163025},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0778748095035553}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4108/eetismla.5410","doi":"https://doi.org/10.4108/eetismla.5410","is_oa":true,"landing_page_url":"https://doi.org/10.4108/eetismla.5410","pdf_url":"https://publications.eai.eu/index.php/ismla/article/download/5410/3157","source":{"id":"https://openalex.org/S4404676465","display_name":"EAI endorsed transactions on intelligent systems and machine learning applications.","issn_l":"3008-0940","issn":["3008-0940"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310321145","host_organization_name":"European Alliance for Innovation","host_organization_lineage":["https://openalex.org/P4310321145"],"host_organization_lineage_names":["European Alliance for Innovation"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EAI Endorsed Transactions on Intelligent Systems and Machine Learning Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.4108/eetismla.5410","doi":"https://doi.org/10.4108/eetismla.5410","is_oa":true,"landing_page_url":"https://doi.org/10.4108/eetismla.5410","pdf_url":"https://publications.eai.eu/index.php/ismla/article/download/5410/3157","source":{"id":"https://openalex.org/S4404676465","display_name":"EAI endorsed transactions on intelligent systems and machine learning applications.","issn_l":"3008-0940","issn":["3008-0940"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310321145","host_organization_name":"European Alliance for Innovation","host_organization_lineage":["https://openalex.org/P4310321145"],"host_organization_lineage_names":["European Alliance for Innovation"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EAI Endorsed Transactions on Intelligent Systems and Machine Learning Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8560000061988831,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403244366.pdf","grobid_xml":"https://content.openalex.org/works/W4403244366.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W103531544","https://openalex.org/W2126243174","https://openalex.org/W2158670896","https://openalex.org/W2332223376","https://openalex.org/W2778019429","https://openalex.org/W2799476711","https://openalex.org/W2801763249","https://openalex.org/W2806592912","https://openalex.org/W2892404105","https://openalex.org/W2907475719","https://openalex.org/W2940354300","https://openalex.org/W2964381743","https://openalex.org/W2995003683","https://openalex.org/W2995683363","https://openalex.org/W2997593220","https://openalex.org/W2998623084","https://openalex.org/W3000271901","https://openalex.org/W3001319889","https://openalex.org/W3010788113","https://openalex.org/W3023828269","https://openalex.org/W3039513141","https://openalex.org/W3174246647","https://openalex.org/W3191342177","https://openalex.org/W4205911024","https://openalex.org/W4226288055","https://openalex.org/W4283121045","https://openalex.org/W4291511624","https://openalex.org/W4387438267","https://openalex.org/W4387438330","https://openalex.org/W4392664198","https://openalex.org/W4392915167","https://openalex.org/W6674249491","https://openalex.org/W6922531598"],"related_works":["https://openalex.org/W4360796155","https://openalex.org/W4408696950","https://openalex.org/W4402996539","https://openalex.org/W4316658821","https://openalex.org/W4391992896","https://openalex.org/W7215687012","https://openalex.org/W4323341849","https://openalex.org/W7090696606","https://openalex.org/W4389312713","https://openalex.org/W4315491892"],"abstract_inverted_index":{"Medical":[0],"image":[1],"processing":[2],"is":[3,17,121],"a":[4,31,43,139,143,167],"very":[5],"difficult":[6],"and":[7,70,104,165],"new":[8,44],"field.":[9],"One":[10],"thing":[11],"they":[12],"do":[13,87],"in":[14,142],"this":[15,160],"field":[16],"analyze":[18],"pictures":[19,76],"of":[20,27,60,101,127],"people's":[21],"brains":[22],"to":[23,35,46,50,84,135],"look":[24],"for":[25,133,148,155],"signs":[26],"tumors.":[28,128,171],"They":[29],"use":[30,47,81],"special":[32,75,140],"computer":[33,82,144],"program":[34,49,141,161],"help":[36,85],"with":[37],"this.":[38,88],"This":[39,63],"paper":[40,64],"talks":[41],"about":[42,151,169],"way":[45],"the":[48,58,61,92,99,102,119],"find":[51,69,91],"brain":[52,72],"cancer":[53],"early":[54],"by":[55,122],"looking":[56,123],"at":[57,124],"texture":[59],"tumor.":[62],"explains":[65],"how":[66,108,117],"we":[67,90,95,106,137],"can":[68,113],"understand":[71],"tumors":[73],"using":[74,152],"called":[77,146],"MRI":[78],"scans.":[79],"We":[80,112,158],"programs":[83],"us":[86],"First,":[89],"tumor,":[93],"then":[94],"separate":[96],"it":[97,110,131],"from":[98],"rest":[100],"brain,":[103],"finally":[105],"measure":[107],"big":[109],"is.":[111],"also":[114],"figure":[115],"out":[116],"serious":[118],"tumor":[120],"different":[125],"kinds":[126],"To":[129],"make":[130],"easier":[132],"people":[134],"use,":[136],"made":[138],"language":[145],"COLAB":[147],"python":[149],"codes":[150],"CNN":[153],"network":[154],"deep":[156],"learning.":[157],"tested":[159],"on":[162],"8":[163],"patients":[164],"learned":[166],"lot":[168],"their":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-10-10T00:00:00"}