Abstract: To improve the segmentation performance of thresholding methods, a novel strategy of integrating the spatial information between pixel’s is proposed in this paper. The proposed strategy ...

Segmentation results for DRIVE and STARE dataset: (a) retinal image; (b) ground truth; (c) output probability map; (d) binary segmentation. During training, 2000 patches with size 48 × 48 are randomly ...

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 ...

Abstract: This paper proposed an auto-adaptive threshold method of two-dimensional (2-D) histogram based on multi-resolution analysis (MRA), decreasing the calculation complexity of 2-D histogram ...

#We will convert the image to LAB color space: L for lightness, A for Red/Green and B for Blue/Yellow #We will calculate the mean color values in A and B channels. # Then, subtract 128 (mid gray) from ...

In-vivo MR-based high-resolution volumetric quantification methods of the endolymphatic hydrops (ELH) are highly dependent on a reliable segmentation of the inner ear's total fluid space (TFS). This ...

Various pre-trained deep learning models for the segmentation of bioimages have been made available as developer-to-end-user solutions. They are optimized for ease of use and usually require neither ...

ABSTRACT: Nowadays, it is a new technology era. Fingerprint is necessary identification recognition of citizens. Fingerprint technology has become more popular and connected to human being life and ...