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ADG-Net: A Lightweight Adaptive Deformable Convolution Network with Gradient-Optimized Pooling for Medical Image Segmentation

2025-10-13

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<title>Abstract</title> <p>Medical image segmentation remains challenging due to the limitations of traditional methods, such as constrained receptive fields and high computational complexity. While UNet and its transformer-based variants excel in accuracy, they suffer from insufficient sensitivity to fine anatomical structures and excessive resource consumption. To address these issues, we propose ADG-Net, a lig...

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Radiomics and Machine Learning in Medical Imaging

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Literature Corpus work: b1972f4d-5777-5d93-8ec8-89cf8cdc4b80
DOI: 10.21203/rs.3.rs-7674513/v1

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