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

The official implementation of ICCV paper "Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds".

This project deals with the detection of skin lesions within the ISICs dataset using YOLOv3 Object Detection with Darknet.

Event sourced bank - A wide-and-shallow example using the Python event sourcing library

The pytorch implementation of DG-Font: Deformable Generative Networks for Unsupervised Font Generation

Bayesian Inference Tools in Python

Language-Agnostic Website Embedding and Classification

Using LSTM to detect spoofing attacks in an Air-Ground network

Pose Detection and Machine Learning for real-time body posture analysis during exercise to provide audiovisual feedback on improvement of form.

D2Go is a toolkit for efficient deep learning

The official implementation code of "PlantStereo: A Stereo Matching Benchmark for Plant Surface Dense Reconstruction."

This project hosts the code for implementing the ISAL algorithm for object detection and image classification

Deep Learning: Architectures & Methods Project: Deep Learning for Audio Super-Resolution

Code for CVPR2019 Towards Natural and Accurate Future Motion Prediction of Humans and Animals

Customizable RecSys Simulator for OpenAI Gym

TAP: Text-Aware Pre-training for Text-VQA and Text-Caption, CVPR 2021 (Oral)

Developed an optimized algorithm which finds the most optimal path between 2 points in a 3D Maze using various AI search techniques like BFS, DFS, UCS, Greedy BFS and A*

Pytorch implementation of the paper "Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization"

Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks (MAPDN)

A generator of point clouds dataset for PyPipes.

Only valid pull requests will be allowed. Use python only and readme changes will not be accepted.