Objectives Automatic bone lesions detection and classifications present a critical challenge
and are essential to support radiologists in making an accurate diagnosis of bone lesions. In …

This study considers the use of deep learning to diagnose osteoporosis from hip
radiographs, and whether adding clinical data improves diagnostic performance over the …

Background Determining the origin of bone metastatic cancer (OBMC) is of great
significance to clinical therapeutics. It is challenging for pathologists to determine the OBMC …

One challenge in applying deep learning to medical imaging is the lack of labeled data.
Although large amounts of clinical data are available, acquiring labeled image data is …

As in all other medical fields, artificial intelligence (AI) is increasingly being used in nuclear
medicine for oncology. There are many articles that discuss AI from the viewpoint of nuclear …

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 …

Simple Summary Spinal metastases are a common occurrence, and many patients do not
have a clear history of primary tumors when diagnosed with spinal metastases. Patients with …

SPECT imaging has been identified as an effective medical modality for diagnosis,
treatment, evaluation and prevention of a range of serious diseases and medical conditions …

18 FDG PET/CT imaging is commonly used in diagnosis and follow-up of metastatic breast
cancer, but its quantitative analysis is complicated by the number and location heterogeneity …

The bone is a major component of the human body. Bone provides the ability to move the
body. The bone fractures are common in the human body. The doctors use the X-ray image …