https://github.com/nikhilroxtomar/cell-nuclei-segmentation-in-tensorflow-2.0
This repository contains the code for semantic segmentation of the cell nuclei on the 2018 Data Science Bowl dataset using UNET architecture in TensorFlow 2.0 framework.
https://github.com/nikhilroxtomar/cell-nuclei-segmentation-in-tensorflow-2.0
tensorflow unet-image-segmentation unet-keras
Last synced: 2 months ago
JSON representation
This repository contains the code for semantic segmentation of the cell nuclei on the 2018 Data Science Bowl dataset using UNET architecture in TensorFlow 2.0 framework.
- Host: GitHub
- URL: https://github.com/nikhilroxtomar/cell-nuclei-segmentation-in-tensorflow-2.0
- Owner: nikhilroxtomar
- Created: 2021-05-12T10:00:24.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-05-12T10:19:10.000Z (about 4 years ago)
- Last Synced: 2025-03-28T08:11:27.274Z (3 months ago)
- Topics: tensorflow, unet-image-segmentation, unet-keras
- Language: Python
- Homepage:
- Size: 994 KB
- Stars: 5
- Watchers: 1
- Forks: 3
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Cell-Nuclei-Segmentation-in-TensorFlow-2.0
This repository contains the code for semantic segmentation of the cell nuclei on the 2018 Data Science Bowl dataset using UNET architecture in TensorFlow 2.0 framework.
The following models are used:
- [UNET](https://arxiv.org/abs/1505.04597)
Models to be used in future:
- RESUNET
- DEEPLABV3+
- more...
# Dataset
The 2018 Data Science Bowl dataset is used for this for training the UNET architecture. The dataset contains the 670 pairs of images and masks. All of these images are of different shapes and contains a variety of cell nuclei.
Download the dataset from here: [2018 DSB](www.kaggle.com/dataset/84613660e1f97d3b23a89deb1ae6199a0c795ec1f31e2934527a7f7aad7d8c37)
Original Image | Mask Image
:-------------------------:|:-------------------------:
 | 
 | 