most citedOn the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective

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eess.IV2024

TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation

Rong Zhou, Zhengqing Yuan, Zhiling Yan +7

Biomedical image segmentation is crucial for accurately diagnosing and analyzing various diseases. However, Convolutional Neural Networks (CNNs) and Transformers, the most commonly…