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rectal cancer
- Citation Author(s):
-
ErhaoZhou
Jiangnan University - Submitted by:
- ErHao Zhou
- Last updated:
- Mon, 08/19/2024 - 21:05
- DOI:
- 10.21227/52q3-1d34
- License:
114 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.
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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