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 ...

This paper proposes an energy-based segmentation method facilitated by the change point detection. We apply the Kullback–Leibler (KL) divergence to demonstrate the feasibility of our method for ...

Accurate characterization of glioma is essential for effective clinical decision-making. Most current studies involve a limited number of patients and focus solely on single-gene tasks. This research ...

Manhole cover defect recognition is of significant practical importance as it can accurately identify damaged or missing covers, enabling timely replacement and maintenance. Traditional manhole cover ...

A multi-valued image (P) consisting of n-bit pixels can be decomposed into a set of n binary pictures. For example, if the image is an n-bit gray image, it is shown as, P=(P1,P2,...,Pn). In case the ...

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 ...

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 ...

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 ...

Not all customers are the same. Oftentimes, different types of customers have different needs and motivations. Hence, a single approach to recruiting and retaining customers often will not yield the ...

Cavendish Laboratory, Department of Physics, University of Cambridge, J.J. Thomson Avenue, Cambridge CB3 0HE, U.K. ISIS Neutron and Muon Source, STFC Rutherford ...