Literature DB >> 35122048

Deep learning links histology, molecular signatures and prognosis in cancer.

Nicolas Coudray1,2, Aristotelis Tsirigos3,4,5.   

Abstract

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Year:  2020        PMID: 35122048     DOI: 10.1038/s43018-020-0099-2

Source DB:  PubMed          Journal:  Nat Cancer        ISSN: 2662-1347


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  1 in total

Review 1.  The current state of molecular testing in the treatment of patients with solid tumors, 2019.

Authors:  Wafik S El-Deiry; Richard M Goldberg; Heinz-Josef Lenz; Anthony F Shields; Geoffrey T Gibney; Antoinette R Tan; Jubilee Brown; Burton Eisenberg; Elisabeth I Heath; Surasak Phuphanich; Edward Kim; Andrew J Brenner; John L Marshall
Journal:  CA Cancer J Clin       Date:  2019-05-22       Impact factor: 508.702

  1 in total
  3 in total

1.  Assessment of deep learning algorithms to predict histopathological diagnosis of breast cancer: first Moroccan prospective study on a private dataset.

Authors:  H El Agouri; M Azizi; H El Attar; M El Khannoussi; A Ibrahimi; R Kabbaj; H Kadiri; S BekarSabein; S EchCharif; C Mounjid; B El Khannoussi
Journal:  BMC Res Notes       Date:  2022-02-19

2.  Leveraging artificial intelligence to predict ERG gene fusion status in prostate cancer.

Authors:  Vipulkumar Dadhania; Daniel Gonzalez; Mustafa Yousif; Jerome Cheng; Todd M Morgan; Daniel E Spratt; Zachery R Reichert; Rahul Mannan; Xiaoming Wang; Anya Chinnaiyan; Xuhong Cao; Saravana M Dhanasekaran; Arul M Chinnaiyan; Liron Pantanowitz; Rohit Mehra
Journal:  BMC Cancer       Date:  2022-05-05       Impact factor: 4.638

Review 3.  Machine Learning for Endometrial Cancer Prediction and Prognostication.

Authors:  Vipul Bhardwaj; Arundhiti Sharma; Snijesh Valiya Parambath; Ijaz Gul; Xi Zhang; Peter E Lobie; Peiwu Qin; Vijay Pandey
Journal:  Front Oncol       Date:  2022-07-27       Impact factor: 5.738

  3 in total

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