A convolutional UNet without long-range sequence modeling beat Transformer and Mamba models on a new 204-patient colorectal tumor CT dataset.
However, this task presents several challenges, variability in image quality and the complex anatomy of the colorectal region hinders precise delineation of tumors
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Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation?
A convolutional UNet without long-range sequence modeling beat Transformer and Mamba models on a new 204-patient colorectal tumor CT dataset.