In the realm of medicine, artificial intelligence (AI) has emerged as a transformative force,
harnessing the power to convert raw data into meaningful insights. Rather than supplanting …

New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …

The use of machine learning in medical and assistive applications is receiving significant
attention thanks to the unique potential it offers to solve complex healthcare problems for …

Purpose We evaluated the performance of deep learning classifiers for bone scans of
prostate cancer patients. Methods A total of 9113 consecutive bone scans (5342 prostate …

This study aimed to explore efficient ways to diagnose bone metastasis early using bone
scintigraphy images through negative mining, pre-training, the convolutional neural network …

Over the past two decades, computer-aided detection and diagnosis have emerged as a
field of research. The primary goal is to enhance the diagnostic and treatment procedures for …

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 …

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 …

The aim of this study was to establish an early diagnostic system for the identification of the
bone metastasis of prostate cancer in whole-body bone scan images by using a deep …

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 …