Literature DB >> 30420742

Author Correction: Deep Learning and Radiomics predict complete response after neo-adjuvant chemoradiation for locally advanced rectal cancer.

Jean-Emmanuel Bibault1,2, Philippe Giraud3, Martin Housset3, Catherine Durdux3, Julien Taieb4, Anne Berger5, Romain Coriat6,7, Stanislas Chaussade6,7, Bertrand Dousset8, Bernard Nordlinger9, Anita Burgun10,11.   

Abstract

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.

Entities:  

Year:  2018        PMID: 30420742      PMCID: PMC6232138          DOI: 10.1038/s41598-018-35359-7

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Correction to: Scientific Reports 10.1038/s41598-018-30657-6, published online 22 August 2018 Martin Housset was omitted from the author list in the original version of this Article. This has been corrected in the PDF and HTML versions of the Article, and in the accompanying Supplementary Information file. The Author Contributions section now reads: J.E.B. conceived and developed the research idea with the assistance of P.G. and A.B. The study design was performed by J.E.B., P.G. and A.B. J.E.B., M.H. and C.D. performed the segmentation task. J.E.B., M.H., C.D., J.T., A.B., B.D., R.C., S.C., B.N. performed data collection. J.E.B. performed the computational experiments with guidance from P.G., A.B. The paper was written by J.E.B. with technical content from A.B., and extensive editorial input from all authors.
  5 in total

1.  The application of radiomics in laryngeal cancer.

Authors:  Amarkumar Dhirajlal Rajgor; Shreena Patel; David McCulloch; Boguslaw Obara; Jaume Bacardit; Andrew McQueen; Eric Aboagye; Tamir Ali; James O'Hara; David Winston Hamilton
Journal:  Br J Radiol       Date:  2021-09-29       Impact factor: 3.039

2.  Predicting pathological complete response in rectal cancer after chemoradiotherapy with a random forest using 18F-fluorodeoxyglucose positron emission tomography and computed tomography radiomics.

Authors:  Wei-Chih Shen; Shang-Wen Chen; Kuo-Chen Wu; Peng-Yi Lee; Chun-Lung Feng; Te-Chun Hsieh; Kuo-Yang Yen; Chia-Hung Kao
Journal:  Ann Transl Med       Date:  2020-03

3.  Noninvasive KRAS mutation estimation in colorectal cancer using a deep learning method based on CT imaging.

Authors:  Kan He; Xiaoming Liu; Mingyang Li; Xueyan Li; Hualin Yang; Huimao Zhang
Journal:  BMC Med Imaging       Date:  2020-06-01       Impact factor: 1.930

4.  A Novel Approach to Assessing Differentiation Degree and Lymph Node Metastasis of Extrahepatic Cholangiocarcinoma: Prediction Using a Radiomics-Based Particle Swarm Optimization and Support Vector Machine Model.

Authors:  Xiaopeng Yao; Xinqiao Huang; Chunmei Yang; Anbin Hu; Guangjin Zhou; Jianbo Lei; Jian Shu
Journal:  JMIR Med Inform       Date:  2020-10-05

5.  Prediction of Neoadjuvant Chemoradiotherapy Response in Rectal Cancer with Metric Learning Using Pretreatment 18F-Fluorodeoxyglucose Positron Emission Tomography.

Authors:  Kuo-Chen Wu; Shang-Wen Chen; Te-Chun Hsieh; Kuo-Yang Yen; Kin-Man Law; Yu-Chieh Kuo; Ruey-Feng Chang; Chia-Hung Kao
Journal:  Cancers (Basel)       Date:  2021-12-17       Impact factor: 6.639

  5 in total

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