Brain Tumor Detection and Classification Using Adjusted InceptionV3, AlexNet, VGG16, VGG19 with ResNet50-152 CNN Model

Wankhede, Disha Sushant and Shelke, Chetan J. and Shrivastava, Virendra Kumar and Achary, Rathnakar and Mohanty, Sachi Nandan (2024) Brain Tumor Detection and Classification Using Adjusted InceptionV3, AlexNet, VGG16, VGG19 with ResNet50-152 CNN Model. EAI Endorsed Transactions on Pervasive Health and Technology.

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Abstract

INTRODUCTION: Brain tumors have become a major global health concern, characterized by the abnormal growth of brain cells that can negatively affect surrounding tissues. These cells can either be malignant (cancerous) or benign (non-cancerous), with their impact varying based on their location, size

Item Type: Article
Date Deposited: 04 Mar 2026 18:10
Last Modified: 11 Apr 2026 00:35
URI: http://eprints.eai.eu/id/eprint/51430

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