Objective: Transformers, born to remedy the inadequate receptive fields of CNNs, have
drawn explosive attention recently. However, the daunting computational complexity of …

Colonoscopy is currently one of the most sensitive screening methods for colorectal cancer.
This study investigates the frontiers of intelligent colonoscopy techniques and their …

Colon polyps represent a common gastrointestinal form. In order to effectively treat and
prevent complications arising from colon polyps, colon polypectomy has become a …

Accurate segmentation of tubular structures, such as blood vessels and bile ducts, is pivotal
for clinical diagnosis and subsequent treatment. However, challenges arise from their …

The pancreas not only is situated in a complex abdominal background but is also
surrounded by other abdominal organs and adipose tissue, resulting in blurred organ …

The automatic segmentation of brain glioma in MRI images is of great significance for
clinical diagnosis and treatment planning. However, achieving precise segmentation …

Brain tissue segmentation plays a critical role in the diagnosis, treatment, and study of brain
diseases. Accurately identifying these boundaries is essential for improving segmentation …

Segmentation is an important prerequisite for developing model healthcare systems,
particularly for disease diagnosis and treatment planning. In the field of medical image …

Methods based on deep learning have shown good advantages in skin lesion recognition.
However, the diversity of lesion shapes and the influence of noise disturbances such as hair …

Ultrasound image segmentation deep learning still has performance bottleneck due to an
inherent speckle noise having complex non-Gaussian statistics in the images. Denoised …