Electrocardiogram (ECG) is a non-invasive approach to capture the overall electrical activity
produced by the contraction and relaxation of the cardiac muscles. It has been established …

GeoCrack is the first large-scale open source annotated dataset of fracture traces from
geological outcrops, enabling deep learning-based fracture segmentation, setting a new …

Background Acute pancreatitis is one of the most common diseases requiring emergency
surgery. Rapid and accurate recognition of acute pancreatitis can help improve clinical …

Infrared thermography (IRT) is a non-invasive, radiation-free imaging technique that uses an
infrared (IR) camera to record and produce an image using IR radiation emitted from the …

Detection of cancer in human organs at an early stage is a crucial task and is important for
the survival of the patients, especially in terms of complex structure, dynamic size, and …

Background To design a pulmonary ground-glass nodules (GGN) classification method
based on computed tomography (CT) radiomics and machine learning for prediction of …

Ultrasound is widely used for tendon assessment due to its safety, affordability, and
portability, but its subjective nature poses challenges. This study aimed to develop a new …

Background Prostate cancer is one of the most common malignant tumors in middle-aged
and elderly men and carries significant prognostic implications, and recent studies suggest …

In our research, we address the problem of coordination and planning in heterogeneous
multi-robot systems for missions that consist of spatially localized tasks. Conventionally, this …

Primary hepatocellular carcinoma (PHC) is associated with high rates of morbidity and
malignancy in China and throughout the world. In clinical practice, a combination of …