Preprocessed BUSI, GLAS, and CVC-ClinicDB Datasets for KM-UNet: Medical image segmentation with selective-scan mamba and Kolmogorov-Arnold networks

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Authors: Zhang Yibo
Cited by: 0

Abstract

This repository contains the preprocessed versions of the BUSI, GLAS, and CVC-ClinicDB datasets used in the experiments of the paper “KM-UNet: Medical image segmentation with selective-scan mamba and Kolmogorov-Arnold networks”. The original datasets are publicly available at:– BUSI: https://www.kaggle.com/datasets/aryashah2k/breast-ultrasound-images-dataset– GLAS: https://www.kaggle.com/datasets/sani84/glasmiccai2015-gland-segmentation– CVC-ClinicDB: https://www.kaggle.com/datasets/balraj98/cvcclinicdb We only provide preprocessed data for reproducibility. All copyrights remain with the original dataset owners.

Fields of Study & Subjects

Medical Image Segmentation Techniques AI in cancer detection Advanced Neural Network Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 February 2026
Document type
Dataset