590 Open source projects that are alternatives of or similar to HyperDenseNet_pytorch

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

Sequential patch-based segmentation for medical image

Official code for ResUNetplusplus for medical image segmentation (TensorFlow implementation) (IEEE ISM)

The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

keras implementation of unet plus plus

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

PyTorch extensions for fast R&D prototyping and Kaggle farming

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Segmentation models with pretrained backbones. PyTorch.

Smart India Hackathon 2019 project given by the Department of Atomic Energy

Video Object Segmentation

[ICIP 2019] Implementation of Saliency Tubes for 3D Convolutions in Pytoch and Keras to localise the focus spatio-temporal regions of 3D CNNs.

Catalyst.Segmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Research Pipeline for image masking/segmentation in Keras

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

High-performance Vision library in Python. Scale your research, not boilerplate.

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss

An implementation of the research paper "Retina Blood Vessel Segmentation Using A U-Net Based Convolutional Neural Network"

Prostate MR Image Segmentation 2012

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

Repository of paper "Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks"

TensorRT Examples (TensorRT, Jetson Nano, Python, C++)

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807

Bayesian Segmentation of Spatial Transcriptomics Data

A clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

Implementation of Machine Learning Algorithms

Summary of Transformer applications for computer vision tasks.

Rectangle detection using the Hough transform

This is the source code of the 1st place solution for segmentation task in MICCAI 2020 TN-SCUI challenge.

Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).

Elastic Boundary Projection for 3D Medical Image Segmentation - CVPR 2019

Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

This repository contains the links to the article that I wrote on Medium pertaining to Image processing.

Dermatology focused medical records software, augmented with computer vision and artificial intelligence [Meteor packaged with Electron]

Semantic Aware Attention Based Deep Object Co-segmentation

Metrics for model evaluation in pytorch

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

RESTful PACS server with plugins

Public code for our submission to the 2017 ACDC Cardiac Segmentation challenge

U-Net for biomedical image segmentation

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Kitware's system for 3D building reconstruction for the IARPA CORE3D program

Fashion item segmentation with deep learning

Stemmer for German

Cool Vision projects

A deep-learning pipeline for segmentation of ambiguous microscopic images.

winning sloution of Digtial Manfacturing Algorithm Competition II of JinNan Tianjin

Code for https://unsupervised-llamas.com

Fashion Item segmentation with Mask_RCNN

Line Segmentation of Handwritten Documents using the A* Path Planning Algorithm