introducing tools for deep learning in medicine
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Updated
May 18, 2019 - Python
introducing tools for deep learning in medicine
Deep Learning per rilevare la Polmonite da immagini a Raggi X. Questo algoritmo identifica automaticamente se un paziente soffre o meno di polmonite osservando le radiografie del torace. Visto che sono in gioco le vite delle persone, questo algoritmo deve essere estremamente accurato.
Breast Cancer Detection based on ResNet-22.
Comprehensive Analysis of Domain Transferability Using Deep-Learning-Based Interpretation of Chest Radiographs
X-Ray observation of Venus using JEMX instrument on INTEGRAL telescope in the 18.04.22 to 24.04.22 window.
An implementation of pix2pix GAN to improve Xray image quality
This is a simple X-ray simulators, the google assistant gave friction the idea of making it.
It detects the X-Rays and can tell if the X-ray is of Normal Person Or Covid-19 Efected Person.
Simple tool to read and analyze existing GISAXS data
This is a 2 classes package that allows you to easily connect to an xray server, and upload junit reports, using as reference this xray-doc
🚀 Atlassian Python REST API wrapper
Xray for fabric 1.19.*
Fun little x-ray memory test
XRay-Pneumonia-Detection-GUI is a deep learning project with a user-friendly GUI for automating pneumonia detection in X-ray images using Convolutional Neural Networks.
Thoracic Disease Detection Using CNNs and Weighted Binary Cross Entropy Loss Based on Chest X-Ray Images
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