Discover neerajkumarvaid/Prostate-Recurrence-Prediction Open Source

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Created over 7 years ago
Updated almost 5 years ago

neerajkumarvaid

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Code for convolutional neural network based prostate cancer recurrence prediction (implementation of our SPIE Medical Imaging paper). This algorithm uses CNNs in a regression framework for segmenting nuclei from H&E stained tissue images using a distance transform based approach.

Nuclei_Segmentation

This is the source code for training and testing our three class CNN algorithm for generalized nuclei segmentation (IEEE TMI paper) using Torch.

Lua

Data-Science-From-Scratch-Python

This repository contains my implementation of the algorithms described in the book "Data Science From Scratch" by Joel Grus. Please scroll down for description of each file.

Jupyter Notebook

CNN-W-SR

Convolutional neural networks for wavelet domain super resolution (implementation of our PR letters paper).

MATLAB

Tumor-Segmentation

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

Python