Table 7 An Overview of Datasets and difficulties associated with image analysis in Pathology.
From: Revolutionizing healthcare: a comparative insight into deep learning’s role in medical imaging
Dataset | Year | Emphasis |
|---|---|---|
Pathology VQA137 | 2020 | Visual question answering |
PAIP 2020138 | 2020 | Colorectal cancer |
MICCAI 2020 CRPCC139 | 2020 | Classification combining radiology and pathology data |
Post-NAT-BRCA140 | 2019 | Cell |
ANHIR141 | 2019 | Pathology image registration |
PAIP 2019142 | 2019 | Liver cancer and tumor burden segmentation |
Data Science Bowl143 | 2018 | Cell |
Colorectal Histology MNIST144 | 2018 | Patch-based analysis of colorectal pathology |
CAMELYON 17145 | 2017 | Breast cancer metastases |
Glas146 | 2015 | Colorectal cancer pathology patch |
OCCIS147 | 2014 | Overlapping cervical cell |
MITOS-ATYPIA-14148 | 2014 | Mitotic |
Particle Tracking Challenge149 | 2012 | Particle |
