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This repository contains an implementation of a deep learning algorithm for tumor segmentation from Whole Slide Images of tissue sections.

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Tumor-Segmentation

This repository contains an implementation of a deep learning algorithm for tumor segmentation from Whole Slide Images of tissue sections.

Requirements:

Weights: tumordetection_26July2019.h5
Code: to_fcn.py 
Libraries: Keras, Tensorflow, Numpy, Openslide, PIL, Scipy

How to use?

Tumordetection_inferenceOnly.py is the main file that will read in the weights and supporting code to run the tumor segmentation model. You can change the directory of your images at line 37 of this file. You may also change the directory for saving the results at line 68.

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This repository contains an implementation of a deep learning algorithm for tumor segmentation from Whole Slide Images of tissue sections.

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