Foundation model, which is pre-trained on broad data and is able to adapt to a wide range
of tasks, is advancing healthcare. It promotes the development of healthcare artificial …

In the last few years, due to the broad applicability of deep learning to downstream tasks and
end-to-end training capabilities, increasingly more concerns about potential biases to …

Polyp segmentation, a critical concern in medical imaging, has prompted numerous
proposed methods aimed at enhancing the quality of segmented masks. While current state …

Medical image segmentation is essential for both diagnostic and therapeutic applications,
requiring the precise delineation of complex anatomical structures. In this paper, we …

Low-count Positron Emission Tomography reconstruction is critical for maintaining high
imaging quality while minimizing tracer doses and radiation exposure. Although integrating …

Medical image segmentation is crucial in medical imaging, aiding detailed anatomical
assessments and supporting diagnostic and therapeutic decisions. The introduction of deep …