{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T00:51:41Z","timestamp":1785027101422,"version":"3.55.0"},"reference-count":20,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,1,21]],"date-time":"2022-01-21T00:00:00Z","timestamp":1642723200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Applied Computational Intelligence and Soft Computing"],"published-print":{"date-parts":[[2022,1,21]]},"abstract":"<jats:p>Brain tumors can be a major cause of psychiatric complications such as depression and panic attacks. Quick and timely recognition of a brain tumor is more effective in tumor healing. The processing of medical images plays a crucial role in assisting humans in identifying different diseases. The classification of brain tumors is a significant part that depends on the expertise and knowledge of the physician. An intelligent system for detecting and classifying brain tumors is essential to help physicians. The novel feature of the study is the division of brain tumors into glioma, meningioma, and pituitary using a hierarchical deep learning method. The diagnosis and tumor classification are significant for the quick and productive cure, and medical image processing using a convolutional neural network (CNN) is giving excellent outcomes in this capacity. CNN uses the image fragments to train the data and classify them into tumor types. Hierarchical Deep Learning-Based Brain Tumor (HDL2BT) classification is proposed with the help of CNN for the detection and classification of brain tumors. The proposed system categorizes the tumor into four types: glioma, meningioma, pituitary, and no-tumor. The suggested model achieves 92.13% precision and a miss rate of 7.87%, being superior to earlier methods for detecting and segmentation brain tumors. The proposed system will provide clinical assistance in the area of medicine.<\/jats:p>","DOI":"10.1155\/2022\/8104054","type":"journal-article","created":{"date-parts":[[2022,1,21]],"date-time":"2022-01-21T19:50:53Z","timestamp":1642794653000},"page":"1-10","source":"Crossref","is-referenced-by-count":133,"title":["Intelligent Model for Brain Tumor Identification Using Deep Learning"],"prefix":"10.1155","volume":"2022","author":[{"given":"Abdul Hannan","family":"Khan","sequence":"first","affiliation":[{"name":"Department of Computer Science, National College of Business Administration and Economics, Lahore 54660, Pakistan"},{"name":"Department of Computer Science, Minhaj University Lahore, Lahore 54000, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5289-7831","authenticated-orcid":true,"given":"Sagheer","family":"Abbas","sequence":"additional","affiliation":[{"name":"Department of Computer Science, National College of Business Administration and Economics, Lahore 54660, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4854-9935","authenticated-orcid":true,"given":"Muhammad Adnan","family":"Khan","sequence":"additional","affiliation":[{"name":"Riphah School of Computing and Innovation, Faculty of Computing, Riphah International University, Lahore Campus, Lahore 54000, Pakistan"},{"name":"Pattern Recognition & Machine Learning Lab, Department of Software, Gachon University, Seongnam 13120, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Umer","family":"Farooq","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Lahore Garrison University, Lahore 54000, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wasim Ahmad","family":"Khan","sequence":"additional","affiliation":[{"name":"Department of Computer Science, National College of Business Administration and Economics, Lahore 54660, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shahan Yamin","family":"Siddiqui","sequence":"additional","affiliation":[{"name":"Department of Computer Science, National College of Business Administration and Economics, Lahore 54660, Pakistan"},{"name":"Department of Computer Science, Minhaj University Lahore, Lahore 54000, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aiesha","family":"Ahmad","sequence":"additional","affiliation":[{"name":"Department of Computer Science, National College of Business Administration and Economics, Multan 66000, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-018-1094-3"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2018.2796023"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/9545920"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.18383\/j.tom.2019.00026"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2019.11.020"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2017.07.007"},{"issue":"12","key":"7","article-title":"Classifying nuts types using convolutional neural network","volume":"3","author":"I. M. Dheir","year":"2020","journal-title":"International Journal of Academic Information Systems Research (IJAISR)"},{"issue":"4","key":"8","doi-asserted-by":"crossref","first-page":"337","DOI":"10.31803\/tg-20190712095507","article-title":"Detection and classification of brain tumours from MRI images using faster R-CNN","volume":"13","author":"K. Sal\u00e7in","year":"2019","journal-title":"Tehni\u010dki glasnik"},{"key":"9","first-page":"16580","article-title":"A CNN based approach for the detection of brain tumours using MRI scans","volume":"83","author":"S. Sarkar","year":"2020","journal-title":"Test Engineering and Management"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/5544742"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1916\/1\/012226"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2904145"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1016\/j.mehy.2020.109696"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2019.101728"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1109\/EIT.2018.8500308"},{"issue":"1","key":"16","doi-asserted-by":"crossref","first-page":"11","DOI":"10.5815\/ijem.2019.01.02","article-title":"Detection and classification of tumour in brain MRI","volume":"9","author":"P. Thejaswini","year":"2019","journal-title":"International Journal of Engineering and Manufacturing (IJEM)"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1109\/ICICCT.2018.8473297"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-7419-5"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.03.014"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.03.014"}],"container-title":["Applied Computational Intelligence and Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/acisc\/2022\/8104054.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/acisc\/2022\/8104054.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/acisc\/2022\/8104054.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,21]],"date-time":"2022-01-21T19:51:01Z","timestamp":1642794661000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/acisc\/2022\/8104054\/"}},"subtitle":[],"editor":[{"given":"Ridha","family":"Ejbali","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2022,1,21]]},"references-count":20,"alternative-id":["8104054","8104054"],"URL":"https:\/\/doi.org\/10.1155\/2022\/8104054","relation":{},"ISSN":["1687-9732","1687-9724"],"issn-type":[{"value":"1687-9732","type":"electronic"},{"value":"1687-9724","type":"print"}],"subject":[],"published":{"date-parts":[[2022,1,21]]}}}