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About PROJECT
This document describes a project that aims to automatically detect white blood cancer from bone marrow microscopic images using convolutional neural networks. Specifically, it seeks to classify images as either acute lymphoblastic leukemia or multiple myeloma. Currently, manual examination of bone marrow images is time-consuming and prone to errors. The proposed system would eliminate human errors and speed up the diagnosis process by training a CNN model on cell image data. The model would preprocess images, extract features, train on an optimized dense convolutional network, and predict the cancer type. The overall goal is to revolutionize cancer detection and help provide early intervention for patients.
Detailed Information
Author: | ['208r1a04j1'] |
---|---|
Publication Year: | 2024 |
Pages: | 71 |
Language: | English |
Format: | |
Price: | FREE |
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