Latest AI and machine learning research in breast cancer for healthcare professionals.
DNA methylation is a process that can affect gene accessibility and therefore gene expression. In th...
BACKGROUND: Recently, stratification of high-risk stage II colon cancer (CC) and the need for adjuva...
Recently, dental cone-beam computed tomography (CBCT) methods have been improved to significantly re...
Hematologic malignancies are model diseases for understanding neoplastic transformation and serve as...
Colorectal cancer (CRC) is one of the most fatal cancers of the digestive system. Although cancer st...
Nowadays, supercritical CO(SC-CO) is known as a promising alternative for challengeable organic solv...
Deep inspiration breath-hold (DIBH) is widely used to reduce the cardiac dose in left-sided breast c...
BACKGROUND: The DoMore-v1-CRC marker was recently developed using deep learning and conventional hae...
Deep learning (DL) based approach aims to construct a full workflow solution for cervical cancer wit...
BACKGROUND AND PURPOSE: Changes of healthy appearing brain tissue after radiotherapy (RT) have been ...
Background Trastuzumab emtansine (T-DM1) is an antibody-drug conjugate approved for use in human epi...
BACKGROUND: Accurate pre-treatment prediction of neoadjuvant chemotherapy (NACT) resistance in patie...
PURPOSE: To develop an automated lung tumor segmentation method for radiation therapy planning based...
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...