{"id":"doi:10.1016/j.bbe.2018.10.004","kind":"article","title":"Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms","authors":["Amin Kabir Anaraki","Moosa Ayati","Foad Kazemi"],"author_count":3,"year":2018,"published":"2018-10-18","venue":"Journal of Applied Biomedicine","cited_by":611,"doi":"10.1016/j.bbe.2018.10.004","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.bbe.2018.10.004","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.bbe.2018.10.004","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W2897188827","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Brain Tumor Detection and Classification"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"neuroai","name":"NeuroAI & Computational Neuroscience","domain_slug":"neuroscience"}],"cited_in_dossiers":[]}