[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

[RedJournal2023]Comprehensive evaluation of a deep learning model for automatic organs at risk segmentation on heterogeneous computed tomography images for abdominal radiotherapy.

A project to provide custom sorting and renaming of dicom files

字幕机翻，翻译字幕文件 .srt .ass .vtt，和同类产品相比，特点是可以自己填写 API key，这样价格最低。最新版本 5.3.0 发布时间 2024 年 11 月 24 号

Public repo for the ICCV2021-CVAMD paper "Is it Time to Replace CNNs with Transformers for Medical Images?"

COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations

A collection of resources on applications of Transformers in Medical Imaging.

View model summaries in PyTorch!

🤖 PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

Tool for onnx->keras or onnx->tflite. Hope this tool can help you.

MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019)

Convert binary map to mesh. The binary map is in nifti format and the mesh is in stl file type.

This tutorials goes deep into the details of the why and how of the seminal paper - MeshCNN. You will find all the details including the ones not explained in the research paper.

Convolutional AutoEncoder application on MRI images

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)

An implementation of Deviation Network with a case on the credit card fraud dataset.

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

unofficial implementation of paper Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) for Unsupervised Anomaly Detection

关于杜伦大学的GANomaly的代码

Kidney Tumor Segmentation Challenge 2019

MR下肝脏和肾脏(左、右)的分割，给公司做的，pytorch

Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification

Code for Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification paper

This Repo Will contain the Preprocessing Code for 3D Medical Imaging

CNN可视化代码，帮助了解建立GradCam过程， 代码中文注解

Development and validation of an interpretable deep learning framework for Alzheimer's disease classification

🤘 awesome-semantic-segmentation

Transfer Learning Shootout for PyTorch's model zoo (torchvision)