基于机器学习的icg辅助近红外光谱数据诊断胰腺癌

Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN) Pub Date : 1900-01-01 DOI:10.1364/ntm.2023.ntu1c.7

Orna Mukhopadhyay

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引用次数: 0

摘要

近红外成像(NIR)结合机器学习可以提供一种高通量的方法来检测肿瘤，具有高灵敏度和特异性。我们提出了一个基于端到端机器学习的框架，用于快速、准确地诊断胰腺癌。

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Machine Learning-based Analysis of ICG-Assisted NIR Spectral Data for Diagnosing Pancreatic Carcinoma

Near-infrared imaging (NIR) combined with machine learning can provide a high-throughput procedure for detecting tumors with high sensitivity and specificity, We present an end-to-end machine learning-based framework for fast, accurate diagnosis of pancreatic carcinoma.

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Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN)

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