Table 6 An overview of datasets and challenges in tasks related to the segmentation of organs in the chest and abdomen regions.
From: Revolutionizing healthcare: a comparative insight into deep learning’s role in medical imaging
Dataset | Year | Techniques | Emphasis |
|---|---|---|---|
CT Diagnosis of COVID-19129 | 2020 | CT | COVID-19 |
COVID Chest X-Ray Dataset130 | 2020 | CR | COVID-19 |
Detection of COVID-19 from Ultrasound131 | 2020 | Ultrasound | COVID-19 |
COVID-19 AR132 | 2020 | CT and CR | COVID-19 |
BCS-DBT133 | 2020 | Digital breast tomosynthesis | Breast cancer |
A-AFMA-Detection134 | 2022 | Ultrasound | Amniotic fluid detection |
NSCLC-Radiomics-Interobserver1135 | 2019 | Radiotherapy structure set | Non-small cell lung cancer |
MIMIC-CXR136 | 2019 | Electronic health record and report | Chest image analysis |
