Bone scintigraphy (BS) is one of the most frequently utilized diagnostic techniques in
detecting cancer bone metastasis, and it occupies an enormous workload for nuclear …

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 …

(1) Background: Bone metastasis is among diseases that frequently appear in breast, lung
and prostate cancer; the most popular imaging method of screening in metastasis is bone …

Objective The main aim of this work is to build a robust Convolutional Neural Network (CNN)
algorithm that efficiently and quickly classifies bone scintigraphy images, by determining the …

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 …

SPECT nuclear medicine imaging is widely used for treating, diagnosing, evaluating and
preventing various serious diseases. The automated classification of medical images is …

Objective To develop an approach for automatically analyzing bone metastases (BMs) on
bone scintigrams based on deep learning technology. Methods This research included a …

Bone scintigraphy is accepted as an effective diagnostic tool for whole-body examination of
bone metastasis. However, the manual analysis of bone scintigraphy images requires …

Bone metastasis is among the most frequent in diseases to patients suffering from metastatic
cancer, such as breast or prostate cancer. A popular diagnostic method is bone scintigraphy …

(1) Background: Bone metastasis is one of the most frequent diseases in breast, lung and
prostate cancer; bone scintigraphy is the primary imaging method of screening that offers the …