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About Ting 2019
The document presents the Convolutional Neural Network Improvement for Breast Cancer Classification (CNNI-BCC) algorithm to assist medical experts in breast cancer diagnosis. CNNI-BCC uses a convolutional neural network to improve breast cancer lesion classification. It can classify mammogram images as malignant, benign, or healthy to help diagnose breast cancer. When tested on medical images, CNNI-BCC achieved 90.50% accuracy and 90.71% specificity in categorizing images. The goal is to help experts diagnose breast cancer through automated image classification.
Detailed Information
| Author: | ['Josue Marshall'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 28 |
| Language: | English |
| Format: | |
| Price: | FREE |
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