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 ...
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, ...
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 ...
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