wwwppp121

wwwppp121

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awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

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well-calibrated-regression-uncertainty

Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".

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study_materials

存储库,内含一些科研相关的自学教材,涉及计算机、机器学习、物理、数学等领域。

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notes

这个仓库记录自己学习的知识笔记,看过的论文的笔记以及一些其他的知识记录

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tutorials

机器学习相关教程

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PytorchInsight

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

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RTDosePrediction

Automatic Radiotherapy Treatment Planning , Knowledge-Based Planning , Dose Prediction , Cascade 3D Network (C3D) ,DCNN, Head and Neck , 1st Place Solution to the AAPM OpenKBP challenge

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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

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PyTorch

Deep Learning Zero to All - Pytorch

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Attention-Gated-Networks

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

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Tensorflow-Tutorial

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

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TensorFlow

Deep Learning Zero to All - Tensorflow

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SepNet

Code for Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss.

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OpenKBP-Solution

My 3rd place solution to the OpenKBP 2020 Competition

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UNet-family

Paper and implementation of UNet-related model.

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pytorch-unet

Tunable U-Net implementation in PyTorch

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Post-op-prostate-DL-model

DL code in tf.keras for post-op prostate CTV segmentation

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DosePredcition

DosePredcition for Accelerated Planning of Rectal Cancer Radiotherapy

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GliomaSolver

Solver for simulating tumor growth and mass effect in patient brain anatomy

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ResNeXt

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

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radiomics

MATLAB programming tools for radiomics analysis

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CNN-Visualization

CNN可视化、理解CNN

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TensorFLow-Learning

B站上炼数成金的公开课笔记

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radiation-dose

Predicting radiation dose from pre-treatment patient parameters

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MP_Lab

Documents of Medical Physics Lab in Wuhan University

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SENet

Squeeze-and-Excitation Networks

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Probabilistic-Unet-Pytorch

A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch

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