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Updated: May 22, 2025

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology
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对红外光谱学和机器学习方法进行全面审查,用于头癌前期和癌症诊断和预后

Shahd A Alajaji1,2,3, Roya Sabzian4, Yong Wang5

  • 1Department of Oncology and Diagnostic Sciences, School of Dentistry, University of Maryland, 650 W. Baltimore Street, 7 Floor, Baltimore, MD 21201, USA.

Cancers
|March 13, 2025
PubMed
概括

机器学习 (ML) 与红外光谱学相结合,在诊断和预测头癌前期和癌症方面非常有前途. 需要对更大的数据集进行进一步的研究,以提高这些先进的诊断工具的可靠性.

关键词:
红外显微镜 IR 显微镜深度学习是一种深度学习.诊断 诊断 诊断 诊断 诊断 诊断头部和部癌前癌症/癌症红外 (IR) 光谱法 红外 (IR) 光谱法机器学习是机器学习.口腔上皮质发育不良症预后 预后 预后

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相关概念视频

Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
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Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
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