Rapid identification of cervical adenocarcinoma and cervical squamous cell carcinoma tissue based on Raman spectroscopy combined with multiple machine learning algorithms-Reference-Cited by-同舟云学术

Rapid identification of cervical adenocarcinoma and cervical squamous cell carcinoma tissue based on Raman spectroscopy combined with multiple machine learning algorithms

Published:2021-03 Issue: Volume:33 Page:102104
ISSN:1572-1000
Container-title:Photodiagnosis and Photodynamic Therapy
language:en
Short-container-title:Photodiagnosis and Photodynamic Therapy

Author:

Zhang Huiting,Chen Cheng,Gao Rui,Yan Ziwei,Zhu Zhimin,Yang Bo,Chen Chen,Lv Xiaoyi,Li Hongyi,Huang Zhixiong

Funder

Science and Technology Department of Xinjiang Uygur Autonomous Region

Urumqi Science and Technology Bureau

Xinjiang Uygur Autonomous Region Department of Education

Publisher

Elsevier BV

Subject

Pharmacology (medical),Dermatology,Oncology,Biophysics

Reference39 articles.

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3. Cervical cancer: clinical practice guidelines in oncology;Koh;JNCCN,2013

4. Primary sarcoma of the cervix: an analysis of patient and tumor characteristics, treatment patterns, and outcomes;Albert;J. Gynecol. Oncol.,2020

5. Cervical adenosquamous carcinoma: detailed analysis of morphology, immunohistochemical profile, and clinical outcomes in 59 cases;Stolnicu;Mod. Pathol.,2019

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