Medical imaging, also known as radiology, is the field of medicine in which medical
professionals recreate various images of parts of the body for diagnostic or treatment …

Purpose Automatic measurement of wrist cartilage volume in MR images. Methods We
assessed the performance of four manually optimized variants of the U‐Net architecture …

Accurate surface defect extraction of apples is critical for their quality inspection and
marketing purposes. Using multi-band images, this study proposes a detection method for …

Accurate glioma segmentation based on magnetic resonance imaging (MRI) is crucial for
assisting with the diagnosis of gliomas. However, the manual delineation of all diverse …

Featured Application Enhancing Clinical Diagnosis through the Integration of Deep
Learning Techniques in Medical Image Recognition. This comprehensive review highlights …

Deep learning networks are state-of-the-art approaches for 3D brain image segmentation,
and the radiological characteristics extracted from tumors are of great significance for clinical …

Brain tumor textures are among the most challenging features for neuroradiologists to
extract from magnetic resonance images (MRIs). Exceptionally high-grade tumors such as …

Brain tumor segmentation has been a challenging and popular research problem in the area
of medical imaging and computer-aided diagnosis. In the last few years, especially since …

Accurate segmentation of brain tumors has a vital impact on clinical diagnosis and
treatment, and good segmentation results are helpful for the treatment of this disease, which …

Accurate liver segment segmentation based on radiological images is indispensable for the
preoperative analysis of liver tumor resection surgery. However, most of the existing …