Purpose This paper proposes a CT images and MRI segmentation technology of cardiac
aorta based on XR-MSF-U-Net model. The purpose of this method is to better analyze the …

Traditional methods of breeding soft-shell crabs mainly rely on manual identification, which
has high costs regarding manpower and resources. Manual inspection may also interfere …

Many papers have reviewed remote sensing image segmentation (RSIS) algorithms
currently. Those existing surveys are insufficiently exhaustive to sort out the various RSIS …

Terrestrial tight oil has extremely strong diagenesis heterogeneity, so a large number of rock
thin slices are needed to reveal the real microscopic pore-throat structure characteristics. In …

Aiming at the problems of inaccurate edge segmentation, the hole phenomenon of
segmenting large-scale targets, and the slow segmentation speed of printed circuit boards …

In this paper, we took the urban roads in the Changsha downtown areas as an example to
identify the green view index (GVI) of urban roads based on street view images (SVIs). First …

Precise identification of blister packages carries utmost importance at dispensing stations,
where numerous prescriptions are to be efficiently dispensed by pharmacists. However, the …

This study aims to improve the efficiency and accuracy of image segmentation, and to
compare and study traditional threshold‐based image segmentation methods and machine …

The COVID-19 epidemic has threatened the human being. The automatic and accurate
segmentation for the infected area of the COVID-19 CT images can help doctors to make …

Severe speckle noise existed in synthetic aperture radar (SAR) image presents a challenge
to image segmentation. Though some traditional segmentation methods for SAR image …