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Cited by in CrossRef
For: Ito H, Uragami N, Miyazaki T, Yang W, Issha K, Matsuo K, Kimura S, Arai Y, Tokunaga H, Okada S, Kawamura M, Yokoyama N, Kushima M, Inoue H, Fukagai T, Kamijo Y. Highly accurate colorectal cancer prediction model based on Raman spectroscopy using patient serum. World J Gastrointest Oncol 2020; 12(11): 1311-1324 [PMID: 33250963 DOI: 10.4251/wjgo.v12.i11.1311]
URL: https://www.wjgnet.com/1948-5204/full/v12/i11/1311.htm
Number Citing Articles
1
Mengze Xu, Zhiyi Chen, Junxiao Zheng, Qi Zhao, Zhen Yuan. Artificial intelligence-aided optical imaging for cancer theranosticsSeminars in Cancer Biology 2023; 94: 62 doi: 10.1016/j.semcancer.2023.06.003
2
Hemanth Noothalapati, Keita Iwasaki, Tatsuyuki Yamamoto. Non-invasive diagnosis of colorectal cancer by Raman spectroscopy: Recent developments in liquid biopsy and endoscopy approachesSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2021; 258: 119818 doi: 10.1016/j.saa.2021.119818
3
Ruichan Lv, Zhan Wang, Yaqun Ma, Wenjing Li, Jie Tian. Machine Learning Enhanced Optical Spectroscopy for Disease DetectionThe Journal of Physical Chemistry Letters 2022; 13(39): 9238 doi: 10.1021/acs.jpclett.2c02193
4
Yumei Wang, Liuru Fang, Yuhua Wang, Zuzhao Xiong. Current Trends of Raman Spectroscopy in Clinic Settings: Opportunities and ChallengesAdvanced Science 2024; 11(7) doi: 10.1002/advs.202300668
5
Qiwen Wang, Sen Wang, Shengdong Cui, Deyuan Yang, Zheng Huang, Shusen Xie. Multivariate analysis of serum surface-enhanced Raman spectroscopy of liver cancer patientsJournal of Innovative Optical Health Sciences 2022; 15(05) doi: 10.1142/S1793545822500328
6
Loredana Bellantuono, Raffaele Tommasi, Ester Pantaleo, Martina Verri, Nicola Amoroso, Pierfilippo Crucitti, Michael Di Gioacchino, Filippo Longo, Alfonso Monaco, Anda Mihaela Naciu, Andrea Palermo, Chiara Taffon, Sabina Tangaro, Anna Crescenzi, Armida Sodo, Roberto Bellotti. An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosisScientific Reports 2023; 13(1) doi: 10.1038/s41598-023-43856-7
7
Joanna Depciuch, Paweł Jakubczyk, Wiesław Paja, Krzysztof Pancerz, Agnieszka Wosiak, Monika Kula-Maximenko, İlhan Yaylım, Güldal İnal Gültekin, Nevzat Tarhan, Mehmet Tolgahan Hakan, Dilara Sönmez, Devrim Sarıbal, Soykan Arıkan, Zozan Guleken. Correlation between human colon cancer specific antigens and Raman spectra. Attempting to use Raman spectroscopy in the determination of tumor markers for colon cancerNanomedicine: Nanotechnology, Biology and Medicine 2023; 48: 102657 doi: 10.1016/j.nano.2023.102657
8
Athanasios G. Pantelis, Panagiota A. Panagopoulou, Dimitris P. Lapatsanis. Artificial Intelligence and Machine Learning in the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms—A Scoping ReviewDiagnostics 2022; 12(4): 874 doi: 10.3390/diagnostics12040874
9
Hiroaki Ito, Naoyuki Uragami, Tomokazu Miyazaki, Yuto Shimamura, Haruo Ikeda, Yohei Nishikawa, Manabu Onimaru, Kai Matsuo, Masayuki Isozaki, William Yang, Kenji Issha, Satoshi Kimura, Machiko Kawamura, Noboru Yokoyama, Miki Kushima, Haruhiro Inoue. Determination of esophageal squamous cell carcinoma and gastric adenocarcinoma on raw tissue using Raman spectroscopyWorld Journal of Gastroenterology 2023; 29(20): 3145-3156 doi: 10.3748/wjg.v29.i20.3145
10
Dangli Hu, Jianmei Wang, Tianfan Cheng, Huijun Li, Feng Zhang, Dan Zhao, Xiaoyi Xu, Rong Yu, Ping Wen, Yunfei Cheng, Jian Xu, Lijian Jin, Jilong Yao. Comparative analysis of serum and saliva samples using Raman spectroscopy: a high-throughput investigation in patients with polycystic ovary syndrome and periodontitisBMC Women's Health 2023; 23(1) doi: 10.1186/s12905-023-02663-y
11
Yafeng Qi, Yuhong Liu, Jianbin Luo. Recent application of Raman spectroscopy in tumor diagnosis: from conventional methods to artificial intelligence fusionPhotoniX 2023; 4(1) doi: 10.1186/s43074-023-00098-0
12
Shruthi Nagainallur Ravichandran, Diptimayee Das, Erica Katriel Dayananda, Amit Dey, Antara Banerjee, Alexander Sun-Zhang, Hong Zhang, Xiao-Feng Sun, Surajit Pathak. A Review on Emerging Techniques for Diagnosis of Colorectal CancerCancer Investigation 2024; 42(2): 119 doi: 10.1080/07357907.2024.2315443
13
Nathan Blake, Riana Gaifulina, Lewis D. Griffin, Ian M. Bell, Geraint M. H. Thomas. Machine Learning of Raman Spectroscopy Data for Classifying Cancers: A Review of the Recent LiteratureDiagnostics 2022; 12(6): 1491 doi: 10.3390/diagnostics12061491