greentreeys's repositories
retina_dataset
Retina dataset containing 1) normal 2) cataract 3) glaucoma 4) retina disease
awesome-computer-vision
A curated list of awesome computer vision resources
awesome-deep-learning-papers
The most cited deep learning papers
awesome-deep-vision
A curated list of deep learning resources for computer vision
c3dis_slides
Slides from CSIRO's C3DIS
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
dlcampjeju
Deep Learning Camp Jeju
fundus-vessel-segmentation-tmbe
One of the first steps in automatic fundus image analysis is the segmentation of the retinal vasculature, which provides valuable information related to several diseases. In this work, we present an extensive description and evaluation of our method for blood vessel segmentation in fundus images based on a discriminatively trained, fully connected conditional random field model. This task remains a challenge largely due to the desired structures being thin and elongated, a setting that performs particularly poorly using standard segmentation priors, such as a Potts model or total variation. We overcome this difficulty by using a conditional random field model with more expressive potentials, taking advantage of recent results enabling inference of fully connected models almost in real-time. Parameters of the method are learned automatically using a structured output support vector machine, a supervised technique widely used for structured prediction in a number of machine learning applications. The evaluation of our method is performed both quantitatively and qualitatively on DRIVE, STARE, CHASEDB1 and HRF, showing its ability to deal with different types of images and outperforming other techniques, trained using state of the art features.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
inception-retrain
Standalone version of Tensorflow Inception Retrain
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
Medical-Screening-System
The system should be able to detect diseases in retinal images
MIL.pytorch
PyTorch implementation of Multiple-instance learning
QUARTZ-EPIC
Quantitative Analysis of Retinal Vessel Topology and Size for EPIC
retina-unet
Retina blood vessel segmentation with a convolutional neural network
sklearn_tutorial
Materials for my scikit-learn tutorial
stanford_dl_ex
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
StockDataCrawling
Stock Data Crawling