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.

Dataset Files

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[1] Erhao Zhou, "rectal cancer", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/52q3-1d34. Accessed: Dec. 09, 2024.
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doi = {10.21227/52q3-1d34},
url = {http://dx.doi.org/10.21227/52q3-1d34},
author = {Erhao Zhou },
publisher = {IEEE Dataport},
title = {rectal cancer},
year = {2024} }
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AU - Erhao Zhou
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Erhao Zhou. (2024). rectal cancer. IEEE Dataport. http://dx.doi.org/10.21227/52q3-1d34
Erhao Zhou, 2024. rectal cancer. Available at: http://dx.doi.org/10.21227/52q3-1d34.
Erhao Zhou. (2024). "rectal cancer." Web.
1. Erhao Zhou. rectal cancer [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/52q3-1d34
Erhao Zhou. "rectal cancer." doi: 10.21227/52q3-1d34