💻 computer science
Enhanced Breast Cancer Classification by Integrating CNN and ViT on the CBIS-DDSM Mammography Dataset
This study proposes a novel hybrid deep learning framework that integrates Convolutional Neural Networks (CNN) and Vision Transformers (ViT) to effectively combine local feature extraction with global context analysis, thereby achieving enhanced breast cancer classification accuracy on the CBIS-DDSM mammography dataset.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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