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 ...

If you're sitting on a pile of customer data and wondering how to unlock hidden revenue, cross-sell analysis is your goldmine. Here’s how I approach it using Python: 1. Understand the customer base ...

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 ...

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, ...

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 ...

Due to the unique structure of coconuts, their cultivation heavily relies on manual experience, making it difficult to accurately and timely observe their internal characteristics. This limitation ...