249 related articles for article (PubMed ID: 35443570)
1. Deep learning-based prediction of molecular cancer biomarkers from tissue slides: A new tool for precision oncology.
Lee SH; Jang HJ
Clin Mol Hepatol; 2022 Oct; 28(4):754-772. PubMed ID: 35443570
[TBL] [Abstract][Full Text] [Related]
2. Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer.
Rączkowska A; Paśnik I; Kukiełka M; Nicoś M; Budzinska MA; Kucharczyk T; Szumiło J; Krawczyk P; Crosetto N; Szczurek E
BMC Cancer; 2022 Sep; 22(1):1001. PubMed ID: 36131239
[TBL] [Abstract][Full Text] [Related]
3. Pan-cancer image-based detection of clinically actionable genetic alterations.
Kather JN; Heij LR; Grabsch HI; Loeffler C; Echle A; Muti HS; Krause J; Niehues JM; Sommer KAJ; Bankhead P; Kooreman LFS; Schulte JJ; Cipriani NA; Buelow RD; Boor P; Ortiz-Brüchle NN; Hanby AM; Speirs V; Kochanny S; Patnaik A; Srisuwananukorn A; Brenner H; Hoffmeister M; van den Brandt PA; Jäger D; Trautwein C; Pearson AT; Luedde T
Nat Cancer; 2020 Aug; 1(8):789-799. PubMed ID: 33763651
[TBL] [Abstract][Full Text] [Related]
4. A systematic analysis of deep learning in genomics and histopathology for precision oncology.
Unger M; Kather JN
BMC Med Genomics; 2024 Feb; 17(1):48. PubMed ID: 38317154
[TBL] [Abstract][Full Text] [Related]
5. Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study.
Yamashita R; Long J; Longacre T; Peng L; Berry G; Martin B; Higgins J; Rubin DL; Shen J
Lancet Oncol; 2021 Jan; 22(1):132-141. PubMed ID: 33387492
[TBL] [Abstract][Full Text] [Related]
6. Deep Learning-Based Stratification of Gastric Cancer Patients from Hematoxylin and Eosin-Stained Whole Slide Images by Predicting Molecular Features for Immunotherapy Response.
Wei Z; Zhao X; Chen J; Sun Q; Wang Z; Wang Y; Ye Z; Yuan Y; Sun L; Jing J
Am J Pathol; 2023 Oct; 193(10):1517-1527. PubMed ID: 37356573
[TBL] [Abstract][Full Text] [Related]
7. Deep learning for prediction of colorectal cancer outcome: a discovery and validation study.
Skrede OJ; De Raedt S; Kleppe A; Hveem TS; Liestøl K; Maddison J; Askautrud HA; Pradhan M; Nesheim JA; Albregtsen F; Farstad IN; Domingo E; Church DN; Nesbakken A; Shepherd NA; Tomlinson I; Kerr R; Novelli M; Kerr DJ; Danielsen HE
Lancet; 2020 Feb; 395(10221):350-360. PubMed ID: 32007170
[TBL] [Abstract][Full Text] [Related]
8. Deep Learning and Colon Cancer Interpretation: Rise of the Machine.
McHugh K; Pai RK
Surg Pathol Clin; 2023 Dec; 16(4):651-658. PubMed ID: 37863557
[TBL] [Abstract][Full Text] [Related]
9. Deep learning captures selective features for discrimination of microsatellite instability from pathologic tissue slides of gastric cancer.
Lee SH; Lee Y; Jang HJ
Int J Cancer; 2023 Jan; 152(2):298-307. PubMed ID: 36054320
[TBL] [Abstract][Full Text] [Related]
10. Feasibility of deep learning-based fully automated classification of microsatellite instability in tissue slides of colorectal cancer.
Lee SH; Song IH; Jang HJ
Int J Cancer; 2021 Aug; 149(3):728-740. PubMed ID: 33851412
[TBL] [Abstract][Full Text] [Related]
11. Prediction of genetic alterations from gastric cancer histopathology images using a fully automated deep learning approach.
Jang HJ; Lee A; Kang J; Song IH; Lee SH
World J Gastroenterol; 2021 Nov; 27(44):7687-7704. PubMed ID: 34908807
[TBL] [Abstract][Full Text] [Related]
12. Piloting a Deep Learning Model for Predicting Nuclear BAP1 Immunohistochemical Expression of Uveal Melanoma from Hematoxylin-and-Eosin Sections.
Zhang H; Kalirai H; Acha-Sagredo A; Yang X; Zheng Y; Coupland SE
Transl Vis Sci Technol; 2020 Sep; 9(2):50. PubMed ID: 32953248
[TBL] [Abstract][Full Text] [Related]
13. Deep Learning for Predicting Effect of Neoadjuvant Therapies in Non-Small Cell Lung Carcinomas With Histologic Images.
Terada K; Yoshizawa A; Liu X; Ito H; Hamaji M; Menju T; Date H; Bise R; Haga H
Mod Pathol; 2023 Nov; 36(11):100302. PubMed ID: 37580019
[TBL] [Abstract][Full Text] [Related]
14. Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning.
Jang HJ; Lee A; Kang J; Song IH; Lee SH
World J Gastroenterol; 2020 Oct; 26(40):6207-6223. PubMed ID: 33177794
[TBL] [Abstract][Full Text] [Related]
15. Improved accuracy in colorectal cancer tissue decomposition through refinement of established deep learning solutions.
Prezja F; Äyrämö S; Pölönen I; Ojala T; Lahtinen S; Ruusuvuori P; Kuopio T
Sci Rep; 2023 Sep; 13(1):15879. PubMed ID: 37741820
[TBL] [Abstract][Full Text] [Related]
16. Deep-Learning to Predict BRCA Mutation and Survival from Digital H&E Slides of Epithelial Ovarian Cancer.
Nero C; Boldrini L; Lenkowicz J; Giudice MT; Piermattei A; Inzani F; Pasciuto T; Minucci A; Fagotti A; Zannoni G; Valentini V; Scambia G
Int J Mol Sci; 2022 Sep; 23(19):. PubMed ID: 36232628
[TBL] [Abstract][Full Text] [Related]
17. Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using endoscopically resected specimens; prediction of lymph node metastasis in T1 colorectal cancer.
Song JH; Hong Y; Kim ER; Kim SH; Sohn I
J Gastroenterol; 2022 Sep; 57(9):654-666. PubMed ID: 35802259
[TBL] [Abstract][Full Text] [Related]
18. Artificial intelligence neuropathologist for glioma classification using deep learning on hematoxylin and eosin stained slide images and molecular markers.
Jin L; Shi F; Chun Q; Chen H; Ma Y; Wu S; Hameed NUF; Mei C; Lu J; Zhang J; Aibaidula A; Shen D; Wu J
Neuro Oncol; 2021 Jan; 23(1):44-52. PubMed ID: 32663285
[TBL] [Abstract][Full Text] [Related]
19. Deep learning based tissue analysis predicts outcome in colorectal cancer.
Bychkov D; Linder N; Turkki R; Nordling S; Kovanen PE; Verrill C; Walliander M; Lundin M; Haglund C; Lundin J
Sci Rep; 2018 Feb; 8(1):3395. PubMed ID: 29467373
[TBL] [Abstract][Full Text] [Related]
20. Use of Deep Learning to Develop and Analyze Computational Hematoxylin and Eosin Staining of Prostate Core Biopsy Images for Tumor Diagnosis.
Rana A; Lowe A; Lithgow M; Horback K; Janovitz T; Da Silva A; Tsai H; Shanmugam V; Bayat A; Shah P
JAMA Netw Open; 2020 May; 3(5):e205111. PubMed ID: 32432709
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]