Latest AI and machine learning research in lung cancer for healthcare professionals.
Reporting of diagnostic nuclear images in clinical cancer management is generally qualitative. Thera...
OBJECTIVES: The objective of this study is to develop a novel multi-task learning approach with atte...
Based on operational data collected over 1.5 years from four full-scale dry anaerobic digesters used...
OBJECTIVES: To evaluate the diagnostic accuracy of machine learning models incorporating multimodal ...
Early and precise diagnosis of craniosynostosis (CSO), which involves premature fusion of cranial su...
Viruses are widely recognized to be intricately associated with both solid and hematological maligna...
Most patients with non-small cell lung cancer (NSCLC) are diagnosed at an advanced stage of the dise...
Recent advances in artificial intelligence (AI) research, particularly in image processing technolog...
BACKGROUND: Deep learning has made significant advancements in the field of digital pathology, and t...
BACKGROUND: With the rising incidence of pulmonary nodules (PNs), lung adenocarcinoma in situ (AIS) ...
Environmental complaints serve as a crucial means for citizens to participate in environmental regul...
INTRODUCTION: Lung cancer is a leading cause of cancer-related deaths, with its incidence continuing...
Early detection is crucial for improving survival rates of pancreatic ductal adenocarcinoma (PDA), y...
PURPOSE: To evaluate the value of pre-treatment MRI-based radiomics in patients with hepatocellular ...
Breast cancer, the second most prevalent cancer among women worldwide, necessitates the exploration ...
BACKGROUND: Non-small cell lung cancer (NSCLC) is one of the leading causes of cancer mortality worl...
PURPOSE: We propose a tumor tracking framework for 2D cine magnetic resonance imaging (MRI) based on...
Pancreatic ductal adenocarcinoma (PDAC) is recognized for its aggressive nature, dismal prognosis, a...
The SINFONIA project's main objective is to develop novel methodologies and tools that will provide ...
INTRODUCTION: Artificial intelligence has permeated all aspects of our existence, and medical imagin...
Radiation dose and image quality in radiology are influenced by the X-ray prime factors: KVp, mAs, a...