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SHANEL Prediction & Cell Counting

This repository contains the code for https://www.sciencedirect.com/science/article/pii/S0092867420301112.

Overview

In this repository you will find the ressources to perform all deep learning and image analysis tasks described in the article "Cellular and Molecular Probing of Intact Human Organs", including training a convolutional neural network, predicting a binary mask on tissue-cleared images and counting cells on binary masks.

Requirements

Python 3.6 Numpy Scipy PyTorch 1.2 Nibabel https://github.com/seung-lab/connected-components-3d

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Image analysis code for the SHANEL paper

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  • Python 100.0%