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 …

When doctors use contrast-enhanced computed tomography (CECT) images to predict the
metastasis of axillary lymph nodes (ALN) for breast cancer patients, the prediction …

In this study, we formulated an efficient deep learning-based classification strategy for
characterizing metastatic bone lesions using computed tomography scans (CTs) of prostate …

Purpose To develop and assess a deep convolutional neural network (DCNN) model for the
automatic detection of bone metastases from lung cancer on computed tomography (CT) …

Purpose We propose a deep learning-based image interpretation system for skeleton
segmentation and extraction of hot spots of bone metastatic lesion from a whole-body bone …

Bone cancer is considered a serious health problem, and, in many cases, it causes patient
death. The X‐ray, MRI, or CT‐scan image is used by doctors to identify bone cancer. The …

Background An artificial intelligence model that assesses primary bone tumors on
radiographs may assist in the diagnostic workflow. Purpose To develop a multitask deep …

Background: Radionuclide bone scanning is one of the most common tools in the inspection
of bone metastasis. Conventionally, the analysis of bone scan image is derived from manual …

Osteosarcoma is an osseous tumor that occurs in the metaphyseal area around the knee
accounts for roughly 20% of bone cancers mostly affects patients younger than 20 years …

Objective To establish and evaluate the 3D U-Net model for automated segmentation and
detection of pelvic bone metastases in patients with prostate cancer (PCa) using diffusion …