Cancer Image Detection With PyTorch (Part 3 iBest Workshop)
Discover how our project utilizes PyTorch and computer vision to identify metastatic cancer in digital pathology scans. Enhance model performance with pre-trained CNNs and transfer learning.
This project uses deep learning in PyTorch and computer vision techniques to develop an algorithm to identify metastatic cancer in small image patches obtained from larger digital pathology scans. The project’s objectives are to set up the necessary environment, install and import required libraries, and perform data preparation for the model training. The project leverages pre-trained Convolutional Neural Networks (CNNs) and transfer learning to improve the model’s performance.
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