Predicting the radiotherapeutic treatment response of non-small cell lung cancer-Reference-Cited by-同舟云学术

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Predicting the radiotherapeutic treatment response of non-small cell lung cancer

Published:2022 Issue: Volume:2 Page:100065
ISSN:2666-9900
Container-title:Computer Methods and Programs in Biomedicine Update
language:en
Short-container-title:Computer Methods and Programs in Biomedicine Update

Author:

Das Soumyajit^ORCID,Sasidharan Rohit,Ghosh Sudipta,Chatterjee Sanjoy,Ray Soumendranath,Arunsingh Moses,Bhattacharyya Tapesh,Mukherjee Jayanta

Publisher

Elsevier BV

Subject

Materials Chemistry

Reference53 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. Incidence and mortality of lung cancer: Global trends and association with socioeconomic status;Wong;Sci. Rep.,2017

3. Imaging and cancer: A review;Fass;Mol. Oncol.,2008

4. Radiomics analysis on FLT-PET/MRI for characterization of early treatment response in renal cell carcinoma: A proof-of-concept study;Antunes;Transl. Oncol.,2016

5. Multimodal fusion of imaging and genomics for lung cancer recurrence prediction;Subramanian,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting the Patient’s Severity Using Machine Learning Applied to Lungs MRI Images;2023 6th International Conference on Information Systems and Computer Networks (ISCON);2023-03-03

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