radiographs

Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification

Official Pytorch Code for "Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN" - MICCAI 2022 Workshop

Codes for paper: A novel method for automatic localization of joint area on knee plain radiographs by A. Tiulpin et. al.

This study was published in 2022 in a scientific journal with SCI-Expanded index. The tooth numbering module uses the FDI notation, which is widely used by dentists, to classify and number dental items found as a result of segmentation. The performance of the Mask R–CNN method used has been proven by comparing it with other state-of-the-art meth…

Single, end-to-end trainable, multi-head CNN architecture for automatic cephalometric landmark detection

CEPHA29 Automatic Cephalometric Landmark Detection Challenge

Practical Applications of Deep Learning: Classifying the most common categories of plain radiographs in a PACS using a neural network (NNCPR)

Covid-19 X-Rays Deep Learning

Interpretable deep learning for automated scoliosis assessment from spinal radiographs using landmarks, centerline geometry, and locked fusion.