FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics

Last update: Dec 13, 2022

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Deep Learning FusionNet-Pytorch

Overview

FusionNet_Pytorch

FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics

Requirements

Pytorch 0.1.11
Python 3.5.2
wget

Download code

git clone https://github.com/GunhoChoi/FusionNet_Pytorch
cd FusionNet_Pytorch

Download Map data

wget https://people.eecs.berkeley.edu/~tinghuiz/projects/pix2pix/datasets/maps.tar.gz
tar -xzvf maps.tar.gz

Make model directory

mkdir model

Train Model

python3 main.py  -> medical image without augmentation
python3 main_augmented.py  -> map image with naive augmentation

Out of memory error -> change batch_size / img_size / out_dim

Result

Medical Image

Map Image

Original Image / Label Image / Generated Image

Related Works

FusionNet in Tensorflow by Hyungjoo Andrew Cho

Owner

Choi Gunho

Yonsei Univ. Computer Science and Business Major(2010~2017)

GitHub Repository

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FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics

Related tags

Overview

FusionNet_Pytorch

Requirements

Download code

Download Map data

Make model directory

Train Model

Result

Medical Image

Map Image

Related Works

Owner

Choi Gunho

Lunar is a neural network aimbot that uses real-time object detection accelerated with CUDA on Nvidia GPUs.

JupyterLite demo deployed to GitHub Pages 🚀

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Tiny Kinetics-400 for test

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