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) …

Purpose Whole-body bone scintigraphy (WBS) is one of the most widely used modalities in
diagnosing malignant bone diseases during the early stages. However, the procedure is …

Background: BSI calculated from bone scintigraphy using 99mtechnetium-methylene
diphosphonate (99mTc-MDP) is used as a quantitative indicator of metastatic bone …

Patients with bone metastases have poor prognoses. A bone scan is a commonly applied
diagnostic tool for this condition. However, its accuracy is limited by the nonspecific …

Background We aimed to construct an artificial intelligence (AI) guided identification of
suspicious bone metastatic lesions from the whole-body bone scintigraphy (WBS) images by …

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 …

Background and purpose To investigate the image quality and accurate bone mineral
density (BMD) on quantitative CT (QCT) for osteoporosis screening by deep-learning image …

Objective (s): BONENAVI, a computer-aided diagnostic system, is used in bone scintigraphy.
This system provides the artificial neural network (ANN) and bone scan index (BSI) values …

Objective BONENAVI is a computer-assisted diagnosis system that analyzes bone
scintigraphy automatically. We experienced more than a few segmentation errors with the …

Background A parallel deep learning network framework for whole-body bone scan image
analysis Whole-body bone scan image analysis in nuclear medicine is a common method …