5 skills found
seva100 / Optic Nerve CnnCode repository for a paper "Optic Disc and Cup Segmentation Methods for Glaucoma Detection with Modification of U-Net Convolutional Neural Network"
KitwareMedical / UltrasoundIntersonAppsInteractive ultrasound applications using streamed images from an Interson linear array probe.
AMvoulana / Fully Automated Method For Glaucoma Screening Using Cup To Disc Ratio Computation In Retinal ImagesPython implementation of the paper "Fully Automated Method for Glaucoma Screening Using Robust Optic Nerve Head Detection and Unsupervised Segmentation Based Cup-To-Disc Ratio Computation in Retinal Fundus Images", by Amed Mvoulana et al., published in Computerized Medical Imaging and Graphics, 2019.
solanki1993 / Glaucoma DetetctionGlaucoma Detection and Classification using Deep Learning Glaucoma is a condition of eye in which optic nerve is damaged due to abnormally high pressure in the eye. It is a chronic and irreversible disease. It is one of the leading cause of blindness across the globe in people over the age of 60. There is no cure for glaucoma, but early detection and medical treatment can prevent from disease progression. A goal of this project was to use deep learning architecture to build a model to detect and classify glaucoma by combining multiple deep features. Keras was used to build the model. We used publicly available database Drishti-GS1. Methodology: This project was divided into two parts: Glaucoma Detection First, ROI (Region of interest) which is an area where optic disc and cup are located in the center and blood vessels of the Glaucoma fundus images were extracted using U shape convolutional neural network and then cup to disc ratio was calculated to classify if the image was glaucomatous or normal. This Paper was used for ROI extraction and disc segmentation. Glaucoma Classification Cup to disc ratio was used for glaucoma classification. VGG16 CNN model was used to distinguish between glaucoma and non-glaucoma related images from fundus images. Glaucoma severity can also be classified from cup to disc ratio: Mild ( CDR >0.3 and <0.5) Moderate (CDR >=0.5 and <0.8) Severe (CDR >=0.8)
mazenafif / Neural Entanglement And ConsciousnessSUMMARY INTRODUCTION: This article discusses the intellectual processes of the individual and how to overcome them, as well as the issue of consciousness according to the nervous coalition of the eye and the auditory nerve and hearing receptors in the heart, where sensory receptors receive vital signals (communication), between organisms and the environment, and then manipulation and analysis of these signals as well as translated to another isomerism. The hidden of bio-logical processes carried out by the individual and its play a role in genetic modification—on that some neurological diseases arise. Manipulation of visual information and its structure in multi-dimensions by neural entanglement, before reaching brain. CHIRALITY PROCESSES: As a result of the translate of two parts of the brain, the optic chiasma-like arises in the frontal lobe according to the chirality structure. METHOD: Structure of visual network according to observation, experimentation. CONCLUSIONS: There is a brain-like that consists of neurotransmitters outside the brain where it processes and perceives bio-information and then sends it to the brain lobes. Neurological diseases arise as a result of exposure to negative ideas that are believed by the individual and that play a role in the emergence of a specific genetic trait.
