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Updated: Jan 8, 2026

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells
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A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells

Published on: August 22, 2025

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通过基于内核的贝叶斯优化,在SPECT重建中调整Butterworth波器的参数,使用无引用图像评估指标

Luca Pastrello1, Diego Cecchin2, Gabriele Santin3

  • 1Department of Mathematics"Tullio Levi-Civita", University of Padova, Via Trieste 63, 35121, Italy.

Mathematical medicine and biology : a journal of the IMA
|December 23, 2025
PubMed
概括

这项研究引入了一种新的无参考图像质量评估 (NR IQA) 方法,用于单光子发射计算机断层扫描 (SPECT) 成像. 它使用贝叶斯方法优化重建参数,用于在没有参考图像的情况下客观地评估图像质量.

关键词:
贝叶斯的优化是贝叶斯的优化.这是SPECT成像系统.贪的内核模型没有参考的指标.

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Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research15:18

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