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Name: Shuaishuai Li
Type: User
Company: @uni-ulm
Bio: A C++ Programmer active in Coputer Vision Technique Domain.
Location: Freelancer, Beijing
Name: Shuaishuai Li
Type: User
Company: @uni-ulm
Bio: A C++ Programmer active in Coputer Vision Technique Domain.
Location: Freelancer, Beijing
Implementation of the paper -> Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation <- in Python3
Extended Retinopathy Detection Challenge with the Regression Activation Map for visual explaination
A CNN for DR classification
Keras implementations of Generative Adversarial Networks.
The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge
A car detection model implemented in Tensorflow.
Learn OpenCV : C++ and Python Examples
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Tumour is formed in human body by abnormal cell multiplication in the tissue. Early detection of tumors and classifying them to Benign and malignant tumours is important in order to prevent its further growth. MRI (Magnetic Resonance Imaging) is a medical imaging technique used by radiologists to study and analyse medical images. Doing critical analysis manually can create unnecessary delay and also the accuracy for the same will be very less due to human errors. The main objective of this project is to apply machine learning techniques to make systems capable enough to perform such critical analysis faster with higher accuracy and efficiency levels. This research work is been done on te existing architecture of convolution neural network which can identify the tumour from MRI image. The Convolution Neural Network was implemented using Keras and TensorFlow, accelerated by NVIDIA Tesla K40 GPU. Using REMBRANDT as the dataset for implementation, the Classification accuracy accuired for AlexNet and ZFNet are 63.56% and 84.42% respectively.
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
A medical imaging framework for Pytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Intro to deep learning for medical imaging lesson, by MD.ai
Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"
🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
A Scaffold to help you build Deep Learning Model much more easily, implemented with TensorFlow 2.0
Usage of Multi-task deep learning network for semantic segmentation in medical images
Code release for paper "A Modulation Module for Multi-task Learning with Applications in Image Retrieval"
A list of brain imaging datasets with multiple scans per subject. Feel free to update the list via 'pull requests'!
This project is built to detect and determine Diabetic Retinopathy which affects more than half a million people around the world.
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
中文命名实体识别(包括多种模型:HMM,CRF,BiLSTM,BiLSTM+CRF的具体实现)
Implementation of http://arxiv.org/abs/1511.05641 that lets one build a larger net starting from a smaller one.
numpy implementation of a feed forward neural network with backpropagation
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.