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Holistic Evaluation of GPT-4V for Biomedical Imaging
arXiv.org, 2023In this paper, we present a large-scale evaluation probing GPT-4V's capabilities and limitations for biomedical image analysis. GPT-4V represents a breakthrough in artificial general intelligence (AGI) for computer vision, with applications in the ...
Zheng Liu +49 more
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Liquid metal biomaterials for biomedical imaging.
Journal of materials chemistry. B, 2022Liquid metals (LMs) not only retain the basic properties of metallic biomaterials, such as high thermal conductivity and high electrical conductivity, but also possess flexibility, flowability, deformability, plasticity, good adhesion, and so on ...
Wenwen Gao +4 more
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Machine Learning in Electromagnetics With Applications to Biomedical Imaging: A Review
IEEE Antennas & Propagation Magazine, 2021Biomedical imaging is a relevant noninvasive technique aimed at generating an image of the biological structure under analysis. The arising visual representation of the characteristics of the object is affected by both the measurement process and ...
Maokun Li +8 more
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Advanced Optical Materials, 2022
Semiconducting polymers are attractive optical materials in optoelectronic devices and biomedical applications because of their superior optical properties and remarkable versatility. Optical imaging in the second near‐infrared window (NIR‐II) has become
Zhe Zhang +4 more
semanticscholar +1 more source
Semiconducting polymers are attractive optical materials in optoelectronic devices and biomedical applications because of their superior optical properties and remarkable versatility. Optical imaging in the second near‐infrared window (NIR‐II) has become
Zhe Zhang +4 more
semanticscholar +1 more source
Texture Analysis and Its Applications in Biomedical Imaging: A Survey
IEEE Reviews in Biomedical Engineering, 2021Texture analysis describes a variety of image analysis techniques that quantify the variation in intensity and pattern. This paper provides an overview of several texture analysis approaches addressing the rationale supporting them, their advantages ...
M. K. Ghalati +4 more
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CMOS Time-to-Digital Converters for Biomedical Imaging Applications
IEEE Reviews in Biomedical Engineering, 2021Time-to-digital converters (TDCs) are high-performance mixed-signal circuits capable of timestamping events with sub-gate delay resolution. As a result of their high-performance, in recent years TDCs were integrated in complementary metal-oxide ...
Ryan Scott, Wei Jiang, M. Deen
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Optical Metasurfaces for Biomedical Imaging and Sensing.
ACS NanoOptical metasurfaces, arrays of nanostructures engineered to manipulate light, have emerged as a transformative technology in both research and industry due to their compact design and exceptional light control capabilities.
Hongyoon Kim +5 more
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Residual-based Language Models are Free Boosters for Biomedical Imaging Tasks
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)In this study, we uncover the unexpected efficacy of residual-based large language models (LLMs) as part of encoders for biomedical imaging tasks, a domain traditionally devoid of language or textual data.
Zhixin Lai +4 more
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Cyanine Conjugate‐Based Biomedical Imaging Probes
Advanced Healthcare Materials, 2020Cyanine is a class of fluorescent dye with meritorious fluorescence properties and has motivated numerous researchers to explore its imaging capabilities by miscellaneous structural modification and functionalization strategies.
Yang Li, Yiming Zhou, Xiuli Yue, Z. Dai
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