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3dunet_abdomen_cascade

a-collection-of-important-tasks-in-pytorch

Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!

attention-aware-3d-unet-for-rt-dose-prediction

Evaluate the feasibility of attention-gated 3D U-Net for knowledge-based planning dose prediction of head-and-neck radiotherapy.

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

awesome-medphys

A list of open-source software tailored for the Medical Physics domain

awesome-public-datasets

A topic-centric list of HQ open datasets.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-super-resolution

Collect super-resolution related papers, data, repositories

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

bayesian_ood_training

beamdoseprediction

A python (Pytorch) implementation of Beam Dose Decomposition for Dose Prediction [MICCAI 2022]

biscuit

Bayesian Inference of Slide-level Confidence via Uncertainty Index Thresholding

bnn

Bayesian Neural Networks

catphan604

自动分析Catphan 604模体扫描图像，主要功能包括HU值线性检测、几何一致性检测、扫描层厚检测、高对比度分辨率检测和低对比度分辨率检测。

cerr

Matlab/Octave based platform for Radiological Research.

clr

cnn-visualization

CNN可视化、理解CNN

codeclass

「后端技术学习指南」学习路线+学习资源。从后端小白到架构师，所有你需要掌握的内容都在这里

cs231n.github.io

Public facing notes page

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

d3dnet

Repository for "Deformable 3D Convolution for Video Super-Resolution", SPL, 2020

dcnv4

[CVPR 2024] Deformable Convolution v4

deep-learning-dose-prediction

deep-learning-kbp-methods-for-rt-dose-prediction

Compare various deep learning-based knowledge-based planning methods for 3D dose distribution prediction of the head and neck plans.

deep-learning-learning-notes

《深度学习》因封面为一簇花丛又称“花书”，是由深度学习领域老、中、青三代结合而成的经典之作，被业界尊称为“AI圣经”。其中Yoshua Bengio为深度学习的三驾马车之一，Ian Goodfellow因发明了GAN而闻名，最后Aaron Courville为青年研究者。花书从应用数学基础开始，围绕着神经网络拓展开来，因此相较于《机器学习》全面介绍不同类型的算法，花书可以看作为神经网络章节的延伸，从深度前馈神经网络，到卷积神经网络，再到循环神经网络，以及辅助神经网络训练调参的正则化、优化方法、实践策略。记录了本人在学习过程中的核心知识点以及辅助理解的拓展知识点，希望能帮助大家打开深度学习新世界的大门。

deepdosesens

How Sensitive Are Deep Learning Based Radiotherapy Dose Prediction Models To Variability In Organs At Risk Segmentation?

deeplearning

All about DeepLearning: 推荐系统、自然语言处理、Tensorflow、Pytorch等

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deepnet

Implementation of some deep learning algorithms.