GitHub topics: radiographs
imedslab/DeepKnee
Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
Language: Python - Size: 3.82 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 68 - Forks: 34
priyavrat-misra/xrays-and-gradcam
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Language: Jupyter Notebook - Size: 3.89 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 52 - Forks: 18
simurgailab/an-enhanced-tooth-segmentation-in-bitewing-radiographs
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 methods.
Size: 352 KB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 3
yongsongH/AIDSRGAN-MICCAI2022
Official Pytorch Code for "Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN" - MICCAI 2022 Workshop
Language: Python - Size: 10.9 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 13 - Forks: 1
manwaarkhd/CEPHMark-Net
Single, end-to-end trainable, multi-head CNN architecture for automatic cephalometric landmark detection
Language: Python - Size: 2.46 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 3 - Forks: 0
imedslab/KneeLocalizer
Codes for paper: A novel method for automatic localization of joint area on knee plain radiographs by A. Tiulpin et. al.
Language: Python - Size: 30.3 KB - Last synced at: 6 months ago - Pushed at: over 6 years ago - Stars: 12 - Forks: 12
fsarshad/Covid19XRaysHw2
Covid-19 X-Rays Deep Learning
Language: Jupyter Notebook - Size: 6.13 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
healthcAIr/NNCPR
Practical Applications of Deep Learning: Classifying the most common categories of plain radiographs in a PACS using a neural network (NNCPR)
Language: Python - Size: 14.9 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0
manwaarkhd/aariz-cephalometric-dataset
A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification
Language: Python - Size: 14.8 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
manwaarkhd/CEPHA29
CEPHA29 Automatic Cephalometric Landmark Detection Challenge
Language: Python - Size: 9.05 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 2