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Fenghua Tong

2 accepted papers

2025

DCCT-Net: A Network Combined Dynamic CNN and Transformer for Image Compressive Sensing

ICASSP 2025accepted

Recent end-to-end image compressive sensing networks primarily use Convolutional Neural Networks (CNNs) and Transformers, each with distinct limitations: CNNs struggle with global feature capture, while Transformers lack local feature extraction. We propose a novel network, DCCT-Net, which combines…

Cited by 0SourceScholar
2025

ElaD-Net: An Elastic Semantic Decoupling Network for Lesion Segmentation in Breast Ultrasound Images

IJCAI 2025

Breast diseases pose a significant threat to women’s health. Automatic lesion segmentation in breast ultrasound images (BUSI) plays a crucial role in fast diagnosis. While various enhanced U-Net-based models have achieved success in multi-scale feature analysis and handling blurred boundaries, two k

Cited by 0SourcePDFScholar