Results 71 to 80 of about 17,459,905 (291)
Research on Medical Image Segmentation Based on SAM and Its Future Prospects
BioengineeringThe rapid advancement of prompt-based models in natural language processing and image generation has revolutionized the field of image segmentation.
Kangxu Fan +5 more
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Medical image segmentation methods overview
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2018 This article provides an overview of the modern medical image segmentation methods. The most popular methods such as multi-atlas based methods and deep learning approach are considered in more details.
Bohdan V. Chapaliuk, Yuriy P. Zaychenko
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AutoSegNet: An Automated Neural Network for Image Segmentation
IEEE Access, 2020 Neural Architecture Search (NAS) has drawn significant attention as a tool for automatically constructing deep neural networks. The generated neural networks are mainly applied for image classification, and natural language processing. However, there are
Zhimin Xu +4 more
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The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation
FEBS Letters, EarlyView.Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge +6 more
wiley +1 more source
A comparative evaluation of interactive segmentation algorithms [PDF]
, 2010 In this paper we present a comparative evaluation of four popular interactive segmentation algorithms. The evaluation was carried out as a series of user-experiments, in which participants were tasked with extracting 100 objects from a common dataset: 25
McGuinness, Kevin +2 more
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Improved Multistage Edge-Enhanced Medical Image Segmentation Network of U-Net [PDF]
Jisuanji gongchengMedical image segmentation accuracy plays a key role in clinical diagnosis and treatment. However, because of the complexity of medical images and diversity of target regions, existing medical image segmentation methods are limited to incomplete edge ...
HU Shuai, LI Hualing, HAO Dechen
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FEBS Letters, EarlyView.Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise +5 more
wiley +1 more source
A Hybrid Technique for Medical Image Segmentation [PDF]
Journal of Biomedicine and Biotechnology, 2012 Medical image segmentation is an essential and challenging aspect in computer-aided diagnosis and also in pattern recognition research. This paper proposes a hybrid method for magnetic resonance (MR) image segmentation. We first remove impulsive noise inherent in MR images by utilizing a vector median filter.
Nyma, Alamgir +4 more
openaire +2 more sources
Neutralization of the PTX3/CD44 axis suppresses TGF‐β1 signaling in kidney fibrosis
FEBS Letters, EarlyView.This study investigates how the PTX3/CD44 axis promotes kidney fibrosis by activating TGF‐β1 signaling. We demonstrate that the neutralizing antibody WHC‐001 effectively inhibits this pathway, suppressing myofibroblast activation and partial epithelial–mesenchymal transition (EMT).
Chao‐Chun Cheng +8 more
wiley +1 more source
Hierarchical Models for Image Segmentation: from Color to Texture [PDF]
, 2008 Segmentation is a low-level processing aimed at the partition of an image in disjoint regions, each one homogeneous with respect to some properties like intensity, texture, shape, etc.
Gaetano, Raffaele
core +1 more source