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-pretreatment-prediction-to-nac-dlpm

Deep Learning Pathological Model for predicting pCR to NAC in breast cancer using WSIs

3dsmrnet

auto_lymph

Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning

autogluon

AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

awesome-diffusion-model-for-image-processing

one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment

basicsr_for3dsmr

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

bcibreast-cancer-immunohistochemical-image-generation-challenge

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

cam

Class Activation Mapping

casia-thesis

自动化所硕博论文模板

cdr-mimic

Official Repository for UAI paper Countdown Regression on the MIMIC-III Dataset

chexnet-keras

This project is a tool to build CheXNet-like models, written in Keras.

code11

cptdn

cvpr-2022-papers

CVPR 2022 papers with code (论文及代码）

deep_cox_mixtures

Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021

deepo-docker-

Setup and customize deep learning environment in seconds.

deepsurv

DeepSurv is a deep learning approach to survival analysis.

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

denoisingdiffusionprobabilitymodel-ddpm-

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

disc-diff

【MICCAI 2023, Early accept】DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution

dl-sr

Tensorflow/keras implementation for image transformation from low-resolution (LR) image to super-resolved one, including single wide-field (WF) image super-resolution prediction and SIM reconstruction.

drsa-survivalrnn

Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.

example-deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fpn_tensorflow

A Tensorflow implementation of FPN detection framework.

hi-diff_nips2024

PyTorch code for our NeurIPS 2023 paper "Hierarchical Integration Diffusion Model for Realistic Image Deblurring"

image-super-resolution-via-iterative-refinement

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

kair-mpi-

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

keras-vis

Neural network visualization toolkit for keras

kfb2svs

kfb转svs小软件