Table 5 Overview of datasets and challenges for tasks involving segmentation of organs in the chest and abdomen.
From: Revolutionizing healthcare: a comparative insight into deep learning’s role in medical imaging
Dataset | Year | Techniques | Considered body parts |
|---|---|---|---|
Automated Segmentation of coronary arteries117 | 2020 | Coronary CT angiography | Coronary arteries |
CT-ORG118 | 2019 | CT | Liver, lung, kidney and bladder |
Medical segmentation decathlon119 | 2019 | MR, CT | Liver, lung, heart, pancreas and colon |
2017 | Radiotherapy structure set | Lung and heart | |
Breast MRI NACT pilot121 | 2016 | MR | Breast |
Anatomy3124 | 2015 | MR, CT | Liver, lung, kidney, aorta and trachea |
CETUS122 | 2014 | Ultrasound | Heart |
