One of the Russian government’s most elite hacking groups has adopted an attack, known as Clickfix, to compromise devices ...
Currently, this more accurately called skin region segmentation as things like eyebrows, teeth, and eyes are included in the mask. The BiRefNetSession class in birefnet/session.py can be used for ONNX ...
The quality of radiotherapy auto-segmentation training data, primarily derived from clinician observers, is of utmost importance. However, the factors influencing the quality of clinician-derived ...
Analysis of vascular networks is an essential step to unravel the mechanisms regulating the physiological and pathological organization of blood vessels. So far, most of the analyses are performed ...
Abstract: In this paper, we highlight image segmentation in the field of medical diagnosis, with a special emphasis on the accurate identification of retinal vessels in fundus images. Achieving ...
DeepGPET is a fully automatic, deep learning based method for choroid region segmentation in optical coherence tomography (OCT) scans. This algorithm can be used to segment the choroid region, and ...
In clinical research on pituitary disorders, pituitary gland (PG) segmentation plays a pivotal role, which impacts the diagnosis and treatment of conditions such as endocrine dysfunctions and visual ...
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