Skin cancer is a major public health problem that could benefit from computer-aided
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …

The Diffusion Probabilistic Model (DPM) has recently gained popularity in the field of
computer vision, thanks to its image generation applications, such as Imagen, Latent …

Ultrasound segmentation of thyroid nodules is a challenging task, which plays an vital role in
the diagnosis of thyroid cancer. However, the following two factors limit the development of …

Medical image segmentation is a fundamental task in the community of medical image
analysis. In this paper, a novel network architecture, referred to as Convolution, Transformer …

Accurate ultrasound (US) image segmentation is crucial for the screening and diagnosis of
diseases. However, it faces two significant challenges: 1) pixel-level annotation is a time …

Automatic medical image segmentation has witnessed significant development with the
success of large models on massive datasets. However, acquiring and annotating vast …

Medical image segmentation is crucial for precise diagnosis, treatment planning, and
disease monitoring in healthcare. Traditional methods often struggle with the complexity and …

The chest X-ray (CXR) is a widely used and easily accessible medical test for diagnosing
common chest diseases. Recently, there have been numerous advancements in deep …

This article presents a simple yet effective two-stage framework for semi-supervised medical
image segmentation. Unlike prior state-of-the-art semi-supervised segmentation methods …

Although multiple instance learning (MIL) methods are widely used for automatic tumor
detection on whole slide images (WSI), they suffer from the extreme class imbalance WSIs …