Latest AI and machine learning research in breast cancer for healthcare professionals.
BACKGROUND: Accurate pre-treatment prediction of neoadjuvant chemotherapy (NACT) resistance in patie...
Although significant progress has been made with surgical methods, the incidence of complications af...
AIMS: Objective evaluation of radiation dermatitis is important for analysing the correlation betwee...
Cancer of the mesothelium, sometimes referred to as malignant mesothelioma (MM), is an extremely unc...
BACKGROUND: Organs at risk (OARs) delineation is a crucial step of radiotherapy (RT) treatment plann...
BACKGROUND: Melanomas are skin malignant tumors that arise from melanocytes which are primarily trea...
BACKGROUND: We describe and evaluate a deep network algorithm which automatically contours organs at...
To compare the quality of CT images of the lung reconstructed using deep learning-based reconstructi...
PURPOSE: Attenuation correction is a critically important step in data correction in positron emissi...
The use of deep learning (DL) to improve cone-beam CT (CBCT) image quality has gained popularity as ...
Background and Objectives: Although reducing the radiation dose level is important during diagnostic...
INTRODUCTION: It is estimated that around 50% of cancer patients require Radiotherapy (RT) at some p...
PURPOSE: The aim of this study was to evaluate the effect of salvage radiation therapy (sRT) on surv...
Bioluminescence imaging (BLI) is a valuable tool for non-invasive monitoring of glioblastoma multifo...
Clinical PET/CT examinations rely on CT modality for anatomical localization and attenuation correct...
To the best of our knowledge, artificial intelligence stain generation is an urgent requirement for ...
Despite the progress made during the last two decades in the surgery and chemotherapy of ovarian can...
This aim of this research was to explore the evaluation and prediction value of diffusion-weighted i...
Microstructured materials that can selectively control the optical properties are crucial for the de...
OBJECTIVE: This study aimed to evaluate the reliability of liver and spleen Hounsfield units (HU) me...
BACKGROUND: As patients tend to be diagnosed with breast cancer at an early stage, the demand for be...