Topic: medicalimageanalysis Goto Github
Some thing interesting about medicalimageanalysis
Some thing interesting about medicalimageanalysis
medicalimageanalysis,This project is made from collecting knee digital xrays dateset to classify the state of the knee whether its normal state knee , doubtful state knee , mild state knee ,moderate state knee and severe state knee . -The initialization of the project starts by downloading the dataset digital knee xrays from mendeley which is available throughout this link : https://data.mendeley.com/datasets/t9ndx37v5h/1. -After exploring dataset we found that the dataset contains 5 main classes for knee state classification those 5 classes are : normal knee state , Doubtful , mild ,Moderate and severe knee classes -Fortunately the image data is cleaned it just needs resizing to size 224x224 in order to be used in more advanced CNNs such as VGG16 , MobileNet ... so on . -After Model training we need to save the model in Model saved format to be used later in deployment scenarios
User: ahmedhisham73
medicalimageanalysis,Jun's HomePage
User: junliu-cn
Home Page: https://junliu-cn.github.io/
medicalimageanalysis,
User: nauyan
medicalimageanalysis,A project for lung disease detection and analysis using deep learning. It includes lung segmentation, disease classification, and severity localization with Grad-CAM for visual explanations. This repository provides code, datasets, and documentation for replication and further research.
User: shub-garg
medicalimageanalysis,This work detects Malaria parasite in patients with the aim to assist physicians with speedy diagnosis.
User: suleee-ai
medicalimageanalysis,A Python package for geometric transformations of images for data augmentation in deep learning
Organization: tueimage
Home Page: https://tue-image.nl
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