Objective To design a deep learning model based on multimodal magnetic resonance
image (MRI) sequences for automatic parotid neoplasm classification, and to improve the …

Background Diagnosis of head and neck (HN) squamous dysplasias and carcinomas is
critical for patient care, cure, and follow‐up. It can be challenging, especially for grading …

Purpose: We aimed to evaluate the value of deep learning on positron emission tomography
with computed tomography (PET/CT)–based radiomics for individual induction …

Background Pleomorphic adenoma (PA), often with the benign-like imaging appearances
similar to Warthin tumor (WT), however, is a potentially malignant tumor with a high …

Background Perineural invasion (PNI), a form of local invasion defined as the ability of
cancer cells to invade in, around, and through nerves, has a negative prognostic impact in …

Nasopharyngeal cancer (NPC) is an endemic with high incidence in Southern China and
Southeast Asia countries. Screening for NPC under conventional white light imaging (WLI) …

Discovering oral cavity cancer (OCC) at an early stage is an effective way to increase patient
survival rate. However, current initial screening process is done manually and is expensive …

Abstract Background Oral Squamous Cell Carcinoma (OSCC) is one of the most severe
cancers in the world, and its early detection is crucial for saving patients. There is an …

Laryngeal leukoplakia is one kind of precancerous lesions in the larynx. Precise detection
and segmentation of leukoplakia in laryngoscopic images is important for laryngeal disease …

Objectives Imaging interpretation of the benignancy or malignancy of parotid gland tumors
(PGTs) is a critical consideration prior to surgery in view of therapeutic and prognostic …