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To overcome such issues and classify the tumor more accurately, a deep learning classifier named Deep Maxout network is developed to classify the tumor into different grades. Based on the classification result, the features connected with the tumor grades are effectively acquired to make the survival prediction process. Deep learning is an effective and robust classifier model employed to perform the tumor classification or detection process with the MRI modality. Here, the survival prediction of tumor patients is carried out by the Deep Long Short-Term Memory (LSTM) classifier. Accordingly, the proposed method achieved higher performance using accuracy, sensitivity, specificity and prediction error with the values of 0.9434, 0.9324, 0.9202 and 0.0579. <\/jats:p>","DOI":"10.1142\/s0218001422520061","type":"journal-article","created":{"date-parts":[[2022,1,24]],"date-time":"2022-01-24T05:32:48Z","timestamp":1643002368000},"source":"Crossref","is-referenced-by-count":4,"title":["MVPO Predictor: Deep Learning-Based Tumor Classification and Survival Prediction of Brain Tumor Patients with MRI Using Multi-Verse Political Optimizer"],"prefix":"10.1142","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0217-9545","authenticated-orcid":false,"given":"R.","family":"Rajeswari","sequence":"first","affiliation":[{"name":"Department of Electronics and Communication Engineering, Rajalakshmi Institute of Technology, Chennai 600124, Tamil Nadu, India"}]},{"given":"G.","family":"Neelima","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Vignan\u2019s Institute of Information Technology, Gajuwaka, Visakhapatnam 530049, Andhra Pradesh, India"}]},{"given":"Balajee","family":"Maram","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, GMR Institute of Technology, Rajam, Srikakulam 532127, Andhra Pradesh, India"}]},{"given":"Anupama","family":"Angadi","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Anil Neerukonda Institute of Technology & Sciences, Bheemunipatnam, Visakhapatnam 531162, Andhra Pradesh, India"}]}],"member":"219","published-online":{"date-parts":[[2022,1,21]]},"reference":[{"key":"S0218001422520061BIB001","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04650-7"},{"key":"S0218001422520061BIB002","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-019-1453-8"},{"key":"S0218001422520061BIB003","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105709"},{"key":"S0218001422520061BIB004","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-015-9369-1"},{"key":"S0218001422520061BIB005","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2020.00025"},{"key":"S0218001422520061BIB006","doi-asserted-by":"publisher","DOI":"10.46253\/j.mr.v3i4.a4"},{"issue":"2","key":"S0218001422520061BIB007","first-page":"c","volume":"3","author":"Gopal A.","year":"2020","journal-title":"Multimed. 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