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