Semi-supervised Cell Detection in Time-lapseImages Using Temporal Consistency

by Kazuya Nishimura, Hyeonwoo Cho, Ryoma Bise

[Home] [Paper]

Prerequisites

• python >= 3.6
• ubuntu 18.04
• CPU or GPU(NVIDIA Driver >= 430)

Installation

Python setting

Conda user

conda env create -f=requirement.yml
conda activate pytorch

Dataset

Cell tracking challnege (http://celltrackingchallenge.net/) Please download and extract DIC-C2DH-HeLa and PhC-C2DH-U373 and PhC-C2DL-PSC to ./image/CTC/

C2C12 (https://osf.io/ysaq2/)

Docker user

sh ./docker/build.sh
sh ./docker/run.sh

Training

python main.py -g

Test

Coming soon