294 related articles for article (PubMed ID: 32364237)
1. Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks.
Yu KH; Wang F; Berry GJ; Ré C; Altman RB; Snyder M; Kohane IS
J Am Med Inform Assoc; 2020 May; 27(5):757-769. PubMed ID: 32364237
[TBL] [Abstract][Full Text] [Related]
2. Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images.
Sadhwani A; Chang HW; Behrooz A; Brown T; Auvigne-Flament I; Patel H; Findlater R; Velez V; Tan F; Tekiela K; Wulczyn E; Yi ES; Mermel CH; Hanks D; Chen PC; Kulig K; Batenchuk C; Steiner DF; Cimermancic P
Sci Rep; 2021 Aug; 11(1):16605. PubMed ID: 34400666
[TBL] [Abstract][Full Text] [Related]
3. Classification of subtypes including LCNEC in lung cancer biopsy slides using convolutional neural network from scratch.
Yang JW; Song DH; An HJ; Seo SB
Sci Rep; 2022 Feb; 12(1):1830. PubMed ID: 35115593
[TBL] [Abstract][Full Text] [Related]
4. Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning.
Coudray N; Ocampo PS; Sakellaropoulos T; Narula N; Snuderl M; Fenyö D; Moreira AL; Razavian N; Tsirigos A
Nat Med; 2018 Oct; 24(10):1559-1567. PubMed ID: 30224757
[TBL] [Abstract][Full Text] [Related]
5. MicroRNA dysregulational synergistic network: discovering microRNA dysregulatory modules across subtypes in non-small cell lung cancers.
Tran N; Abhyankar V; Nguyen K; Weidanz J; Gao J
BMC Bioinformatics; 2018 Dec; 19(Suppl 20):504. PubMed ID: 30577741
[TBL] [Abstract][Full Text] [Related]
6. Analysis of gene expression profiles of lung cancer subtypes with machine learning algorithms.
Yuan F; Lu L; Zou Q
Biochim Biophys Acta Mol Basis Dis; 2020 Aug; 1866(8):165822. PubMed ID: 32360590
[TBL] [Abstract][Full Text] [Related]
7. Comparative study on the mutational profile of adenocarcinoma and squamous cell carcinoma predominant histologic subtypes in Chinese non-small cell lung cancer patients.
Ding Y; Zhang L; Guo L; Wu C; Zhou J; Zhou Y; Ma J; Li X; Ji P; Wang M; Zhu W; Shi C; Li S; Wu W; Zhu W; Xiao D; Fu C; He Q; Sun R; Mao X; Lizaso A; Li B; Han-Zhang H; Zhang Z
Thorac Cancer; 2020 Jan; 11(1):103-112. PubMed ID: 31692283
[TBL] [Abstract][Full Text] [Related]
8. Development of a Histopathology Informatics Pipeline for Classification and Prediction of Clinical Outcomes in Subtypes of Renal Cell Carcinoma.
Marostica E; Barber R; Denize T; Kohane IS; Signoretti S; Golden JA; Yu KH
Clin Cancer Res; 2021 May; 27(10):2868-2878. PubMed ID: 33722896
[TBL] [Abstract][Full Text] [Related]
9. Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks.
Antonio VAA; Ono N; Saito A; Sato T; Altaf-Ul-Amin M; Kanaya S
Int J Comput Assist Radiol Surg; 2018 Dec; 13(12):1905-1913. PubMed ID: 30159833
[TBL] [Abstract][Full Text] [Related]
10. Predicting lung cancer prognosis using machine learning.
Burki TK
Lancet Oncol; 2016 Oct; 17(10):e421. PubMed ID: 27569440
[No Abstract] [Full Text] [Related]
11. Automated Classification of Lung Cancer Types from Cytological Images Using Deep Convolutional Neural Networks.
Teramoto A; Tsukamoto T; Kiriyama Y; Fujita H
Biomed Res Int; 2017; 2017():4067832. PubMed ID: 28884120
[TBL] [Abstract][Full Text] [Related]
12. Radiomics for Classification of Lung Cancer Histological Subtypes Based on Nonenhanced Computed Tomography.
E L; Lu L; Li L; Yang H; Schwartz LH; Zhao B
Acad Radiol; 2019 Sep; 26(9):1245-1252. PubMed ID: 30502076
[TBL] [Abstract][Full Text] [Related]
13. A Machine-Learning Approach Using PET-Based Radiomics to Predict the Histological Subtypes of Lung Cancer.
Hyun SH; Ahn MS; Koh YW; Lee SJ
Clin Nucl Med; 2019 Dec; 44(12):956-960. PubMed ID: 31689276
[TBL] [Abstract][Full Text] [Related]
14. A prognosis-related molecular subtype for early-stage non-small lung cell carcinoma by multi-omics integration analysis.
Yang K; Wu Y
BMC Cancer; 2021 Feb; 21(1):128. PubMed ID: 33549049
[TBL] [Abstract][Full Text] [Related]
15. Prognostic alternative mRNA splicing signature in non-small cell lung cancer.
Li Y; Sun N; Lu Z; Sun S; Huang J; Chen Z; He J
Cancer Lett; 2017 May; 393():40-51. PubMed ID: 28223168
[TBL] [Abstract][Full Text] [Related]
16. Using a convolutional neural network for classification of squamous and non-squamous non-small cell lung cancer based on diagnostic histopathology HES images.
Le Page AL; Ballot E; Truntzer C; Derangère V; Ilie A; Rageot D; Bibeau F; Ghiringhelli F
Sci Rep; 2021 Dec; 11(1):23912. PubMed ID: 34903781
[TBL] [Abstract][Full Text] [Related]
17. Transcriptomic studies provide insights into the tumor suppressive role of miR-146a-5p in non-small cell lung cancer (NSCLC) cells.
Iacona JR; Monteleone NJ; Lemenze AD; Cornett AL; Lutz CS
RNA Biol; 2019 Dec; 16(12):1721-1732. PubMed ID: 31425002
[TBL] [Abstract][Full Text] [Related]
18. The heterogeneous immune landscape between lung adenocarcinoma and squamous carcinoma revealed by single-cell RNA sequencing.
Wang C; Yu Q; Song T; Wang Z; Song L; Yang Y; Shao J; Li J; Ni Y; Chao N; Zhang L; Li W
Signal Transduct Target Ther; 2022 Aug; 7(1):289. PubMed ID: 36008393
[TBL] [Abstract][Full Text] [Related]
19. Usefulness of gradient tree boosting for predicting histological subtype and EGFR mutation status of non-small cell lung cancer on
Koyasu S; Nishio M; Isoda H; Nakamoto Y; Togashi K
Ann Nucl Med; 2020 Jan; 34(1):49-57. PubMed ID: 31659591
[TBL] [Abstract][Full Text] [Related]
20. Exploring and comparing of the gene expression and methylation differences between lung adenocarcinoma and squamous cell carcinoma.
Yang Y; Wang M; Liu B
J Cell Physiol; 2019 Apr; 234(4):4454-4459. PubMed ID: 30317601
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
