The domain shift problem has emerged as a challenge in cross-domain low-dose CT
(LDCT) image denoising task, where the acquisition of a sufficient number of medical …

Accurate segmentation of fetal heart in echocardiography images is essential for detecting
the structural abnormalities such as congenital heart defects (CHDs). Due to the wide …

The aim of this article is to review recent progress in the application of artificial intelligence to
chest medical image analysis. The lungs, bone, and mediastinum were included in terms of …

Object detection has been an active area of research over the past two decades. The
complexity of detecting an object increases with the increase in object speed and decrease …

The increasing reliance on Computed Tomography Pulmonary Angiography (CTPA) for
Pulmonary Embolism (PE) diagnosis presents challenges and a pressing need for improved …

Oral epithelial dysplasia is a precancerous lesion that presents alterations in the shape and
size of cell nuclei and can be graded as mild, moderate and severe. The conventional …

The working efficiency and lifetime of impregnated diamond tools are closely related to their
wear conditions, among which different wear modes of the metal matrix play an essential …

Purpose The purpose of this study was to propose a deep learning-based approach to
detect pulmonary embolism and quantify its severity using the Qanadli score and the right-to …

Manual classification of acute lymphoblastic leukemia carried out by doctors will certainly
take a lot of time and effort. The challenges in automated computer-based systems for …

Deep learning has achieved notable performance in the denoising task of low-quality
medical images and the detection task of lesions, respectively. However, existing low-quality …