In recent years, the segmentation of anatomical or pathological structures using deep
learning has experienced a widespread interest in medical image analysis. Remarkably …

The temporal bone is a part of the lateral skull surface that contains organs responsible for
hearing and balance. Mastering surgery of the temporal bone is challenging because of this …

Facial wrinkles are important indicators of human aging. Recently, a method using deep
learning and a semi-automatic labeling was proposed to segment facial wrinkles, which …

Objective. Bone segmentation is a critical step in screw placement navigation. Although the
deep learning methods have promoted the rapid development for bone segmentation, the …

Time-of-flight magnetic resonance angiography (TOF-MRA) is a common cerebrovascular
imaging. Accurate and automatic cerebrovascular segmentation in TOF-MRA images is an …

Purpose Cerebrovascular segmentation from time-of-flight magnetic resonance angiography
(TOF-MRA) is important but challenging for the simulation and measurement of …

The extraction of abdominal structures using deep learning has recently experienced a
widespread interest in medical image analysis. Automatic abdominal organ and vessel …

Peripapillary atrophy (PPA) is a clinical abnormality related to many eye diseases, such as
myopia and glaucoma. The shape and area of PPA are essential indicators of disease …

Purpose Automated distinct bone segmentation from CT scans is widely used in planning
and navigation workflows. U-Net variants are known to provide excellent results in …

The precise delineation of blood vessels in medical images is critical for many clinical
applications, including pathology detection and surgical planning. However, fully-automated …