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

Last update: Dec 13, 2022

Related tags

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

PyBrain - Another Python Machine Learning Library.

Language Models for the legal domain in Spanish done @ BSC-TEMU within the "Plan de las Tecnologías del Lenguaje" (Plan-TL).

PyTorch implementation of Tacotron speech synthesis model.

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Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Official code release for "GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis"

This respository includes implementations on Manifoldron: Direct Space Partition via Manifold Discovery

[ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang

Project page for the paper Semi-Supervised Raw-to-Raw Mapping 2021.

NeWT: Natural World Tasks

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

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Source code for "Roto-translated Local Coordinate Framesfor Interacting Dynamical Systems"

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