Deep learning is a subfield of state-of-the-art artificial intelligence (AI) technology, and
multiple deep learning-based AI models have been applied to musculoskeletal diseases …

In the field of metastatic skeletal oncology imaging, the role of artificial intelligence (AI) is
becoming more prominent. Bone metastasis typically indicates the terminal stage of various …

Background: This study targets the development of an explainable deep learning
methodology for the automatic classification of coronary artery disease, utilizing SPECT MPI …

Focusing on coronary artery disease (CAD) patients, this research paper addresses the
problem of automatic diagnosis of ischemia or infarction using single-photon emission …

(1) Background: Single-photon emission computed tomography (SPECT) myocardial
perfusion imaging (MPI) is a long-established estimation methodology for medical diagnosis …

Background AI for medical diagnosis has made a tremendous impact by applying
convolutional neural networks (CNNs) to medical image classification and momentum plays …

To automatically identify and delineate metastatic lesions in low-resolution bone scan
images, we propose a deep learning-based segmentation method in this paper. In …

A bone scan is widely used for surveying bone metastases caused by various solid tumors.
Scintigraphic images are characterized by inferior spatial resolution, bringing a significant …

Abstract In recent years, Machine Learning approaches (ML) have shown promising results
in addressing many tasks in medical image analysis. In particular, the analysis of Bone …

Background Whole-body bone scan is the widely used tool for surveying bone metastases
caused by various primary solid tumors including lung cancer. Scintigraphic images are …