Aim Computer-aided diagnosis (CAD) software for bone scintigrams have recently been
introduced as a clinical quality assurance tool. The purpose of this study was to compare the …

Objective To develop a completely automated method, based on image processing
techniques and artificial neural networks, for the interpretation of bone scans regarding the …

Background The response of bone-dominant (BD) breast cancer to therapy is difficult to
assess by conventional imaging. Our preliminary studies have shown that quantitative serial …

Introduction Bone scintigraphy, a nuclear medicine technique, is widely used for the
detection of bone metastasis. Deep learning has also been used in bone scan classification …

Abstract 18 F-fluorodeoxyglucose (FDG) positron emission tomography (PET) has become
widely available and an important oncological technique. To evaluate the influence of PET …

Assessing therapy response of breast cancer bone metastases is challenging. In
retrospective studies, serial 18F-FDG PET was predictive of time to skeletal-related events …

To improve image quality for low-count bone scintigraphy using deep learning and evaluate
their clinical applicability. Six hundred patients (training, 500; validation, 50; evaluation, 50) …

Objective The aim of this study was to investigate the diagnostic ability of a completely
automated computer-assisted diagnosis (CAD) system to detect metastases in bone scans …

The purpose of the present study was to investigate the distribution characteristics of bone
metastases in breast and prostate carcinomas. Bone scintigraphies were performed in 504 …

The aim of the present study was to investigate the relationships between the automated
bone scan index (aBSI) and skeletal-related events (SRE) in breast cancer patients with …