MindCheck: Deep Learning for Tumor Diagnosis |
Author(s): |
| Roshan Ghorpade , Sanjivani College of Engineering ; Yashraj Darandale , Sanjivani College of Engineering ; Milind Aher, Sanjivani College of Engineering ; Dr.A.V Bramhane, Sanjivani College of Engineering |
Keywords: |
| Brain Tumor Detection, Feature Extraction, (CNNs), Image Processing, Feature Extraction, Tumor Classification |
Abstract |
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This document is about Brain tumor identification plays a crucial role in medical image processing, where leveraging deep learning methodologies, particularly Convolutional Neural Networks (CNNs), has demonstrated remarkable potential. Detecting tumors at an early stage with high accuracy is essential for optimizing treatment strategies and enhancing patient prognosis. CNNs facilitate automated, precise, and efficient analysis by extracting critical features from medical scans, enabling accurate tumor categorization. This abstract outline deep learning approaches based on CNNs for detecting brain tumors, emphasizing their structural designs, effectiveness, and impact on medical diagnosis. |
Other Details |
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Paper ID: IJSRDV13I30004 Published in: Volume : 13, Issue : 3 Publication Date: 01/06/2025 Page(s): 12-16 |
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