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Name: Ting Luo
Type: User
Bio: Artificial intelligence student majoring in medicine. Ting Luo
Name: Ting Luo
Type: User
Bio: Artificial intelligence student majoring in medicine. Ting Luo
A list of resources about deep learning solutions on 3D shape processing
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain
Brain Tumor Classification
Utilities to download and load an MRI brain tumor dataset with Python, providing 2D slices, tumor masks and tumor classes.
Pytorch implementaion of UNet, Deep ResUnet and ONet models for the brain tumor segmentation task
Brain Tumor Segmentation done using U-Net Architecture.
Built an MRI data processing module and standardized the voxel data, trained the model by taking random sub-samples from the 3D image and applied the U-net model to segment tumor regions in 3D brain MRI image. • Implemented a custom loss function for model training (soft dice loss) and evaluated model performance by calculating sensitivity and specificity.
Development and validation of an interpretable deep learning framework for Alzheimer's disease classification
Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment
A complete pipeline for BraTS 2020
Implementation of NvNet
code for Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders
Class Activation Mapping
Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' (MICCAI 2021)
A pytorch reimplementation of CheXNet
Implementation of the CheXNet network (PyTorch)
Weakly Supervised Learning for Findings Detection in Medical Images
cifar10数据集上进行图片分类,基于tensorflow框架,旨在探究不同的改进策略对分类准确率的影响,如何一步步得提高准确率
MR下肝脏和肾脏(左、右)的分割,给公司做的,pytorch
Addressing Failure Prediction by Learning Model Confidence
Connected components on multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants.
Code for a convolutional autoencoder written on python, theano, lasagne, nolearn
COVID-19 Pneumonia Lesion segmentation network
Detecting Covid-19 from X-ray
We are building an open database of COVID-19 cases with chest X-ray or CT images.
COVID-Net Open Source Initiative
COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.