In recent years, deep learning (DL) has shown impressive performance in radiologic image
analysis. However, for a DL model to be useful in a real-world setting, its confidence in a …

The staging of endometrial cancer is based on the International Federation of Gynecology
and Obstetrics (FIGO) staging system according to the examination of surgical specimens …

Cervical cancer is the most common cancer and ranked as 4th in morbidity and mortality
among Malaysian women. Currently, Magnetic Resonance Imaging (MRI) is considered as …

Background and purpose Existing methods for quality assurance of the radiotherapy auto-
segmentations focus on the correlation between the average model entropy and the Dice …

Objective Preoperative prediction of meningioma venous sinus invasion would facilitate the
selection of surgical approaches and predicting the prognosis. To predict venous sinus …

Background and Objective Cervical cancer clinical target volume (CTV) outlining and organs
at risk segmentation are crucial steps in the diagnosis and treatment of cervical cancer …

Recent advances in MRI‐guided radiation therapy (MRgRT) and deep learning techniques
encourage fully adaptive radiation therapy (ART), real‐time MRI monitoring, and the MRI …

Brachytherapy (BT) is an effective form of cancer treatment. In recent years, significant
progress has been made in applying artificial intelligence (AI) in brachytherapy, especially in …

Objective. MRI is the standard imaging modality for high-dose-rate brachytherapy of cervical
cancer. Precise contouring of organs at risk (OARs) and high-risk clinical target volume (HR …

Delineating the clinical target volume (CTV) and organs at risk (OARs) is crucial in rectal
cancer radiotherapy. However, the accuracy of manual delineation (MD) is variable and the …