This is a data parser to obtain images and descriptions from JSRT database in a uniform format for deep learning applications.
-
Updated
Nov 12, 2017 - Python
#
jsrt-database
Here are 5 public repositories matching this topic...
Basic JSRT organ segmentation using UNet
-
Updated
Nov 19, 2021 - Jupyter Notebook
Image segmentation and accuracy prediction via Multi-atlas segmentation (MAS) and Reverse classification accuracy (RCA)
medical-imaging
image-registration
jsrt-database
multi-atlas
xray-images
reverse-classification-accuracy
-
Updated
Jul 9, 2022 - Python
Landmark-based segmentation using multi-atlas
-
Updated
Jan 25, 2023 - Python
[IEEE-IRI 2023] "A Fully Connected Reproducible SE-UResNet for Multiorgan Chest Radiographs Segmentation" by Debojyoti Pal, Tanushree Meena, and Sudipta Roy.
-
Updated
Sep 4, 2023 - Jupyter Notebook
Improve this page
Add a description, image, and links to the jsrt-database topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the jsrt-database topic, visit your repo's landing page and select "manage topics."