10 datasets found

The AMOS2022 challenge dataset contains 500 CT and 100 MRI scans, distributed into 200+40 (CT + MRI) training, 100+20 validation and 200+40 test images.

The Abdominal Multi Organ Segmentation 2022 (AMOS2022) challenge dataset contains 500 CT and 100 MRI scans collected from multiple sites, a wide range of imaging conditions, and...

A multi-view multi-stage and multi-window framework for pulmonary artery segmentation from CT scans

The dataset used for testing the proposed Project & Excite (PE) module for whole-brain segmentation of MRI scans and whole-body segmentation of CT scans.

The dataset used for testing the proposed Project & Excite (PE) module for whole-brain segmentation of MRI scans and whole-body segmentation of CT scans.

The dataset used for training and testing the proposed Project & Excite (PE) module for whole-brain segmentation of MRI scans and whole-body segmentation of CT scans.

The Internal Multi-Organ (IMO) dataset contains 85 CT-scans annotated with 7 classes.

The TCIA pancreas public dataset contains 82 CT-scans with pixel-level annotations.

The NIH dataset contains 14 different diseases, including pneumonia, and is used for training and testing machine learning models.

LIDC-IDRI dataset contains almost all the related information for low-dose lung CTs including several doctors' annotations on nodule sizes, locations, diagnosis results, nodule...