Recognition of liver tumors by predicted hyperspectral features based on patient's computed tomography radiomics features-Reference-Cited by-同舟云学术

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Recognition of liver tumors by predicted hyperspectral features based on patient's computed tomography radiomics features

Published:2023-06 Issue: Volume:42 Page:103638
ISSN:1572-1000
Container-title:Photodiagnosis and Photodynamic Therapy
language:en
Short-container-title:Photodiagnosis and Photodynamic Therapy

Author:

Wang Xuehu,Wang Tianqi,Zheng Yongchang,Yin Xiaoping

Funder

Gansu Provincial Natural Science Foundation

Hebei University

Publisher

Elsevier BV

Subject

Pharmacology (medical),Dermatology,Oncology,Biophysics

Reference34 articles.

1. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA Cancer J. Clin.,2021

2. Circular RNAs: characteristics, biogenesis, mechanisms and functions in liver cancer;Shen;J. Hematol. Oncol.,2021

3. Early diagnosis of hepatocellular carcinoma using machine learning method;Zhang;Front Bioeng. Biotechnol.,2020

4. Advances in the early diagnosis of hepatocellular carcinoma;Wang;Genes Dis.,2020

5. Development of a novel histone deacetylase-targeted near-infrared probe for hepatocellular carcinoma imaging and fluorescence image-guided surgery;Tang;Molecular Imaging Biol.,2020

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1. Study on an Automatic Classification Method for Determining the Malignancy Grade of Glioma Pathological Sections Based on Hyperspectral Multi-Scale Spatial–Spectral Fusion Features;Sensors;2024-06-12

2. Hyperspectral imaging for non-invasive blood oxygen saturation assessment;Photodiagnosis and Photodynamic Therapy;2024-02

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