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

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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

OpenGAN: Open-Set Recognition via Open Data Generation

This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"

Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution

SPRING is a seq2seq model for Text-to-AMR and AMR-to-Text (AAAI2021).

Investigating automatic navigation towards standard US views integrating MARL with the virtual US environment developed in CT2US simulation

PyVideoAI: Action Recognition Framework

The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)

SegTransVAE: Hybrid CNN - Transformer with Regularization for medical image segmentation

A simple image/video to Desmos graph converter run locally

Trajectory Prediction with Graph-based Dual-scale Context Fusion

NuPIC Studio is an all­-in-­one tool that allows users create a HTM neural network from scratch

Near-Duplicate Video Retrieval with Deep Metric Learning

Gif-caption - A straightforward GIF Captioner written in Python

Deep Q Learning with OpenAI Gym and Pokemon Showdown

Hand Gesture Volume Control is AIML based project which uses image processing to control the volume of your Computer.

Feature extraction made simple with torchextractor

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

This is the codebase for the ICLR 2021 paper Trajectory Prediction using Equivariant Continuous Convolution

PIKA: a lightweight speech processing toolkit based on Pytorch and (Py)Kaldi

My personal Home Assistant configuration.

NuPIC Studio is an all-in-one tool that allows users create a HTM neural network from scratch