This article discusses the opportunities, applications and future directions of large-scale
pretrained models, ie, foundation models, which promise to significantly improve the …

Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …

Abstract The Segment Anything Model (SAM) is the first foundation model for general image
segmentation. It has achieved impressive results on various natural image segmentation …

An increasing number of public datasets have shown a marked impact on automated organ
segmentation and tumor detection. However, due to the small size and partially labeled …

In this study, we focus on building up a model that can Segment Anything in medical
scenarios, driven by Text prompts, termed as SAT. Our main contributions are three folds:(i) …

Large Language Models like ChatGPT demonstrate a remarkable capacity to learn new
concepts during inference without any fine-tuning. However, visual models trained to detect …

In medical image processing, multi-threshold image segmentation has been challenging, as
selecting appropriate thresholds is crucial for distinguishing different structures within an …

Nasopharyngeal carcinoma (NPC) is a prevalent and clinically significant malignancy that
predominantly impacts the head and neck area. Precise delineation of the Gross Tumor …

Sleep apnea (SA) is a common sleep-related breathing disorder that tends to induce a
series of complications, such as pediatric intracranial hypertension, psoriasis, and even …

Neuroimage processing tasks like segmentation, reconstruction, and registration are central
to the study of neuroscience. Robust deep learning strategies and architectures used to …