Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …

The advancement of medical imaging has profoundly impacted our understanding of the
human body and various diseases. It has led to the continuous refinement of related …

Background/Objectives: Lung and cardiovascular diseases are leading causes of mortality
worldwide, yet early detection remains challenging due to the subtle symptoms. Digital …

Deep learning approaches are state-of-the-art for semantic segmentation of medical images,
but unlike many deep learning applications, medical segmentation is characterized by small …

Automated Cardiac Magnetic Resonance segmentation serves as a crucial tool for the
evaluation of cardiac function, facilitating faster clinical assessments that prove …

This paper proposes an encoding–decoding network with a pyramidal representation
module, which will be referred to as EDPNet, and is designed for efficient semantic image …

Deep learning techniques have recently shown remarkable efficacy in the semantic
segmentation of natural and remote sensing (RS) images. However, these techniques …

Qualitative precipitation forecasting plays a vital role in marine operational services.
However, predicting heavy precipitation over the open ocean presents a significant …

Lumbar spine magnetic resonance imaging (MRI) is a critical diagnostic tool for the
assessment of various spinal pathologies, including degenerative disc disease, spinal …

The precise segmentation of different regions of the prostate is crucial in the diagnosis and
treatment of prostate-related diseases. However, the scarcity of labeled prostate data poses …