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About Deep Learning For Identifying Metastatic Breast Cancer
This document describes a deep learning system that was used to identify metastatic breast cancer in whole slide images of lymph node biopsies. The system achieved state-of-the-art performance in two grand challenges, outperforming pathologists. It used a deep convolutional neural network trained on millions of image patches to generate probability heatmaps, which were then processed to classify entire slides and localize tumors. Combining the system's predictions with a pathologist's analysis significantly reduced the pathologist's error rate, demonstrating the ability of deep learning to improve diagnostic accuracy.
Detailed Information
| Author: | ['Robert Roberts'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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