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R. M

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Conference Aug 2026

Multi-Class Brain Tumor Detection Using Deep Learning with Explainable AI Visualization

The detection of brain tumors is a fundamental problem in medical image analysis that has a significant part in patient survival since identification at early stages increases the chances of surviving the disease. MRI scan interpretation takes a a great deal of time and can be prone due to human error. In this paper, a...

S. B, R. M, J. A · 0 citations
Conference Jul 2026

An Explainable CNN Framework for Efficient Pneumonia Detection from Chest X-Rays

Pneumonia is a respiratory condition, which is critical and needs an accurate diagnosis to minimize death. The following paper introduces a deep learning model, which can be explained, to identify pneumonia in the X-ray images of the chest, using the Convolutional Neural Networks (CNN) architecture. The image resizing,...

Rushmitha Sebas S, R. M, J. A · 0 citations

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