Latest AI and machine learning research in breast cancer for healthcare professionals.
Over the last decades, the use of artificial intelligence, machine learning and deep learning in med...
Tumorigenesis and treatment are closely associated with various programmed cell death (PCD) patterns...
BACKGROUND: Radiotherapy has been crucial in prostate cancer treatment. However, manual segmentation...
A precise radiotherapy plan is crucial to ensure accurate segmentation of glioblastomas (GBMs) for r...
Head and neck squamous cell carcinoma (HNSCC) is a complex malignancy that requires a multidisciplin...
PURPOSE: Convolutional Neural Networks (CNNs) have emerged as transformative tools in the field of r...
PURPOSE: In the rapidly expanding field of artificial intelligence (AI) there is a wealth of literat...
Artificial intelligence can standardize and automatize highly demanding procedures, such as manual s...
This study explores the impact of densely-ionizing radiation on non-cancer and cancer diseases, focu...
Acute myeloid leukemia (AML) exhibits pronounced heterogeneity and chemotherapy resistance. Aberrant...
OBJECTIVE: To investigate the accuracy of machine learning (ML) algorithms in stratifying risk of pr...
PURPOSE: Organ-at-risk segmentation is essential in adaptive radiotherapy (ART). Learning-based auto...
Geometric distortions in brain MRI images arising from susceptibility artifacts at air-tissue interf...
Lung cancer is the leading cause of cancer-related deaths globally, with non-small cell lung cancer ...
PURPOSE: Muscle radiodensity loss after surgery and adjuvant chemotherapy is associated with poor ou...
PURPOSE: Currently, precise patient body weight (BW) at the time of diagnostic imaging cannot always...
Global longitudinal strain (GLS) is an echocardiographic measure to detect chemotherapy-related card...
Accurate assessment of HER2 expression in tumor tissue is crucial for determining HER2-targeted trea...
BACKGROUND: It is uncertain which biological features underpin the response of rectal cancer (RC) to...
Reducing recurrence following radical resection of colon cancer without overtreatment or undertreatm...
PURPOSE: To develop a combined radiomics and deep learning (DL) model in predicting radiation esopha...