Brain Tumor segmentation

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• Published Subscription Original Research 11 Jun 2025

  U-Net Based Approach for Automated Brain Tumor Classification

  By Anjali Yadav, Hardik Tated, Suyog Tathe, Neha Vishwakarma, Pratiksha Madre

  Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …

  Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article →