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Tumor Detection: Can We Early Detection Truly Make An Impact?

Fiker Eshetu Eshetu

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Paper Contents

Abstract

Cancer remains one of the leading causes of mortality worldwide, where early detection is crucial for improving survival rates. This project, FWE Solutions, is a web-based platform designed to assist medical practitioners and patients in detecting various cancers, including brain, breast, liver, and lung cancers, through the use of advanced machine learning models. The system allows users to upload mammogram and CT scan images, which are processed by a trained convolutional neural network (CNN) to classify tumor types and predict the likelihood of malignancy. By integrating user-friendly interfaces, comprehensive reporting, and visual aids such as heatmaps, the platform simplifies and enhances the diagnostic process, contributing to improved healthcare outcomes.

Copyright

Copyright © 2025 Fiker Eshetu. This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS50500000890
ISSN: 2321-9653
Publisher: ijprems
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The International Journal of Progressive Research in Engineering, Management and Science is a peer-reviewed, open access journal that publishes original research articles in engineering, management, and applied sciences.

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