Multi-view learning (MVL) has attracted increasing attention and achieved great practical
success by exploiting complementary information of multiple features or modalities …

Radiomics is the extraction of predefined mathematic features from medical images for
predicting variables of clinical interest. Recent research has demonstrated that radiomics …

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 …

Accurate prediction of pathological complete response (pCR) after neoadjuvant
chemoradiotherapy (nCRT) is essential for clinical precision treatment. However, the …

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

To automatically identify and delineate metastatic lesions in low-resolution bone scan
images, we propose a deep learning-based segmentation method in this paper. In …

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 …

A bone scan is widely used for surveying bone metastases caused by various solid tumors.
Scintigraphic images are characterized by inferior spatial resolution, bringing a significant …

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 …

Abstract In recent years, Machine Learning approaches (ML) have shown promising results
in addressing many tasks in medical image analysis. In particular, the analysis of Bone …