Literature DB >> 27866632

Predicting Malignant Nodules from Screening CTs.

Brett W Carter1, Myrna C Godoy2, Jeremy J Erasmus2.   

Abstract

Mesh：

Year:  2016        PMID： 27866632     DOI： 10.1016/j.jtho.2016.09.117

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN： 1556-0864            Impact factor:   15.609


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  5 in total

1.  Applying Risk Prediction Models to Optimize Lung Cancer Screening: Current Knowledge, Challenges, and Future Directions.

Authors:  Lori C Sakoda; Louise M Henderson; Tanner J Caverly; Karen J Wernli; Hormuzd A Katki
Journal:  Curr Epidemiol Rep       Date:  2017-10-24

2.  Validation of the BRODERS classifier (Benign versus aggRessive nODule Evaluation using Radiomic Stratification), a novel HRCT-based radiomic classifier for indeterminate pulmonary nodules.

Authors:  Fabien Maldonado; Cyril Varghese; Srinivasan Rajagopalan; Fenghai Duan; Aneri B Balar; Dhairya A Lakhani; Sanja L Antic; Pierre P Massion; Tucker F Johnson; Ronald A Karwoski; Richard A Robb; Brian J Bartholmai; Tobias Peikert
Journal:  Eur Respir J       Date:  2021-04-01       Impact factor: 16.671

Review 3.  The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges.

Authors:  Zhenyu Liu; Shuo Wang; Di Dong; Jingwei Wei; Cheng Fang; Xuezhi Zhou; Kai Sun; Longfei Li; Bo Li; Meiyun Wang; Jie Tian
Journal:  Theranostics       Date:  2019-02-12       Impact factor: 11.556

4.  Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics.

Authors:  Martina Sollini; Lidija Antunovic; Arturo Chiti; Margarita Kirienko
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-06-18       Impact factor: 9.236

Review 5.  A review on recent advancements in diagnosis and classification of cancers using artificial intelligence.

Authors:  Priyanka Ramesh; Ramanathan Karuppasamy; Shanthi Veerappapillai
Journal:  Biomedicine (Taipei)       Date:  2020-09-11
  5 in total

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