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Deep Learning for Breast Cancer Detection by prashantrinku is a document available to read on EtoBox.

What is Deep Learning for Breast Cancer Detection about?

This document summarizes a presentation on using deep learning approaches for breast cancer detection. It discusses how digital pathology and techniques like convolutional neural networks, recurrent neural networks, and deep belief networks are used in cancer studies. Classification algorithms like decision trees and random forests were applied to a breast cancer dataset containing 569 records and 32 features. The results show the decision tree model achieved 100% training accuracy while the random forest m

Author

prashantrinku

Language

EN