Latest AI and machine learning research in breast cancer for healthcare professionals.
To investigate the impact of combining the high-resolution (Hi-res) scan mode with deep learning ima...
Many cancer patients die due to their treatment failing because of their disease's resistance to che...
The use of digital breast tomosynthesis (DBT) in breast cancer screening has become widely accepted,...
BACKGROUND: Lung cancer has the highest mortality rate among cancers. Radiation therapy (RT) is one ...
Machine Learning (ML) plays an essential part in the research area of medical image processing. The ...
OBJECTIVES: Early diagnosis of triple-negative (TN) and human epidermal growth factor receptor 2 pos...
Artificial Intelligence (AI) is a branch of computer science that deals with mathematical algorithms...
BACKGROUND: In view of the underlying health risks posed by X-ray radiation, the main goal of the pr...
The prevalence and pervasiveness of artificial intelligence (AI) with medical images in veterinary a...
Instantaneous photosynthetically available radiation (IPAR) at the ocean surface and its vertical pr...
Many technological advances have entered the clinical routine of Computed Tomography (CT) imaging. T...
BACKGROUND: Deep learning breast cancer risk models demonstrate improved accuracy compared with trad...
Automatic image registration plays an important role in many aspects of the radiation oncology workf...
Recent advancements in artificial intelligence (AI) in the domain of radiation therapy (RT) and thei...
Radiation oncology is a field that heavily relies on new technology. Data science and artificial int...
MOTIVATION: Predicting pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in tri...
Due to the potential difference between two neurons and that between the inner and outer membranes o...
Accurate segmentation of nuclei is an essential step in analysis of digital histology images for dia...
Breast cancer is one of the leading causes of death among women. Early prediction of breast cancer c...
Automatic lesion segmentation in mammography images assists in the diagnosis of breast cancer, which...
The objective of our work was to develop deep learning methods for extracting and normalizing patien...