introducing tools for deep learning in medicine
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Updated
May 18, 2019 - Python
introducing tools for deep learning in medicine
Comprehensive Analysis of Domain Transferability Using Deep-Learning-Based Interpretation of Chest Radiographs
Simple tool to read and analyze existing GISAXS data
🚀 Atlassian Python REST API wrapper
Deep learning computer vision convolutional neural net (CNN) for keypoint detection on x-ray images of knees to identify patellar instability.
X-ray wave propagation techniques in cython
Kubernetes Xray Report - show security reports for all images on a Kubernetes cluster
Task automation for Jira with Python
Automatic generation of descriptive radiological reports from X-RAY scans
"Covid19-Pneumonia-Detector" is a Django-ReactJS Web App with an Artificial Intelligence. It can detect COVID-19 and Pneumonia from X-ray Images using CNN based on DenseNet121 architecture.
An ensemble model for pneumonia detection that achieves 95.51% accuracy and 96.44 % F1 score on the ChestXRay17 dataset.
Xray Server Docker Compose ( Vmess + Websockets + TLS + CDN )
Normalising flows for Inverse Problems is a framework providing all means for data-driven solutions to inverse (imaging) problems.
Various examples of distributed tracing in action
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