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Results for “"Pinzhen Chen"”

6 results

ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network

Verified

Zhan Wu, Rongjun Ge, Minli Wen, Gaoshuang Liu et al.

Journal: Medical Image AnalysisYear: 2020Citations: 78

Automatic and accurate esophageal lesion classification and segmentation is of great significance to clinically estimate the lesion statuses of the esophageal diseases and make suitable diagnostic schemes. Due to individual variations and visual similarities of lesions in shapes, colors, and texture...

Health SciencesMedicineSurgery
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Flexible mechano-optical dual-responsive perovskite molecular ferroelectric composites for advanced anticounterfeiting and encryption

Verified

Shengshun Duan, Pinzhen Chen, Yu‐An Xiong, Fangzhi Zhao et al.

Journal: Science AdvancesYear: 2024Citations: 27

Hybrid organic-inorganic molecular ferroelectrics have emerged as promising materials for multifunctional piezoelectric devices. However, they present challenges in practical applications because of their inherent brittleness and poor ductility. Herein, we present a flexible mechano-optical dual-res...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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Venus Flytrap‐Inspired Data‐Center‐Free Fast‐Responsive Soft Robots Enabled by 2D Ni<sub>3</sub>(HITP)<sub>2</sub> MOF and Graphite

Verified

Shengshun Duan, Xiao Wei, Mingcen Weng, Fangzhi Zhao et al.

Journal: Advanced MaterialsYear: 2024Citations: 24

Abstract The rapid and responsive capabilities of soft robots in perceiving, assessing, and reacting to environmental stimuli are highly valuable. However, many existing soft robots, designed to mimic humans and other higher animals, often rely on data centers for the modulation of mechanoelectrical...

Physical SciencesEngineeringBiomedical Engineering
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Automatic brain tissue segmentation based on graph filter

Verified

Youyong Kong, Xiaopeng Chen, Jiasong Wu, Pinzheng Zhang et al.

Journal: BMC Medical ImagingYear: 2018Citations: 18

BACKGROUND: Accurate segmentation of brain tissues from magnetic resonance imaging (MRI) is of significant importance in clinical applications and neuroscience research. Accurate segmentation is challenging due to the tissue heterogeneity, which is caused by noise, bias filed and partial volume effe...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Generative data-engine foundation model for universal few-shot 2D vascular image segmentation

Verified

Rongjun Ge, XIN LI, Yuxing Liu, Chengliang Liu et al.

Journal: Medical Image AnalysisYear: 2026

The segmentation of 2D vascular structures via deep learning holds significant clinical value but is hindered by the scarcity of annotated data, severely limiting its widespread application. Developing a universal few-shot vascular segmentation model is highly desirable, yet remains challenging due ...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Highly conductive and ultrarobust elastic conductors for stretchable electronics

Verified

Tong Zheng, Shengxin Xiang, Qiongfeng Shi, Li J et al.

Journal: Science AdvancesYear: 2026

Elastic conductors are vital for flexible electronics, but the high filler concentrations conventionally required to achieve metallic conductivity severely degrade mechanical properties. Here, we report a poor solvent–induced interfacial self-assembly strategy to fabricate robust elastic conductors....

Electrical conductorMaterials scienceComposite materialOpen Access
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