ISJBTC/MWKAN: v1.0.0 DOI creation
Abstract
Implementation of Morlet Wavelet-enhanced Kolmogorov-Arnold Network (KAN) for binary classification of breast cancer histopathology images. This architecture integrates learnable Morlet wavelet transformations with multi-layer KAN structure to achieve accurate classification of histopathological images into benign and malignant categories. The implementation uses the Breast Histopathology Images dataset from Kaggle (IDC classification) and includes comprehensive training, evaluation, and visualization tools for reproducible research.
Fields of Study & Subjects
AI in cancer detection
Radiomics and Machine Learning in Medical Imaging
Image Retrieval and Classification Techniques
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 8 February 2026