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 ...

The rise in brain tumor incidence due to the global population aging has intensified the need for precise segmentation methods in clinical settings. Current segmentation networks often fail to capture ...

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 ...

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 ...

Cancer is a worldwide health concern and the second leading cause of death in the United States, with approximately 2 million projected cases in 2023 (1). Prostate, breast, lung, melanoma, lymphoma, ...

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 ...

Supply chain management usually faces problems such as high empty rate of transportation, unreasonable inventory management, and large material consumption caused by inaccurate market demand forecasts ...