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PyTorch implementation of EDNFC-Net: Convolutional Neural Network with Nested Feature Concatenation for Nuclei-Instance Segmentation

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EDNFC-Net

PyTorch implementation of EDNFC-Net: Convolutional Neural Network with Nested Feature Concatenation for Nuclei-Instance Segmentation [Publication Link]

Details

  1. ednfc.py--> network
  2. ednfc_utils.py--> supporting functions
  3. main.py --> training
  4. test.py --> inference

Some parts of the code are reused from albumentations

Sample predictions on test set of ISIC 2017 dataset

Please cite this work as:
@INPROCEEDINGS{gehlot2020,
author={S. {Gehlot} and A. {Gupta} and R. {Gupta}},
booktitle={ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
title={EDNFC-Net: Convolutional Neural Network with Nested Feature Concatenation for Nuclei-Instance Segmentation},
year={2020},
pages={1389-1393},}

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PyTorch implementation of EDNFC-Net: Convolutional Neural Network with Nested Feature Concatenation for Nuclei-Instance Segmentation

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