rectal cancer
- Citation Author(s):
-
Erhao Zhou
(Jiangnan University)
- Submitted by:
- ErHao Zhou
- Last updated:
- DOI:
- 10.21227/52q3-1d34
148 views
- Categories:
- Keywords:
Abstract
The small rectal cancer dataset only consists of 190 MR images (including ADC, DCE, DWI and T2WI images), which can be categorized into 2 classes, i.e., T2 and T3. Fig. 2 illustrates some of the original MR images about T2 and T3 in the rectal cancer dataset. The ground-truth labels about tumor and rectum for all MR images are defined by one gastrointestinal radiologist.
Instructions:
The small rectal cancer dataset only consists of 190 MR images (including ADC, DCE, DWI and T2WI images), which can be categorized into 2 classes, i.e., T2 and T3. Fig. 2 illustrates some of the original MR images about T2 and T3 in the rectal cancer dataset. The ground-truth labels about tumor and rectum for all MR images are defined by one gastrointestinal radiologist.
The adopted rectal cancer dataset in RCSP-FIMG-TSK. Since this is our private dataset, only a portion of the original MR images are provided here. If you need the full dataset, please contact us at erhaozhou@163.com.
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