BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

118 related articles for article (PubMed ID: 38241820)

  • 1. Prediction of prognosis and treatment response in ovarian cancer patients from histopathology images using graph deep learning: a multicenter retrospective study.
    Yang Z; Zhang Y; Zhuo L; Sun K; Meng F; Zhou M; Sun J
    Eur J Cancer; 2024 Mar; 199():113532. PubMed ID: 38241820
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Deep learning-based pathological prediction of lymph node metastasis for patient with renal cell carcinoma from primary whole slide images.
    Gao F; Jiang L; Guo T; Lin J; Xu W; Yuan L; Han Y; Yang J; Pan Q; Chen E; Zhang N; Chen S; Wang X
    J Transl Med; 2024 Jun; 22(1):568. PubMed ID: 38877591
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer.
    Sharma A; Weitz P; Wang Y; Liu B; Vallon-Christersson J; Hartman J; Rantalainen M
    Breast Cancer Res; 2024 Jan; 26(1):17. PubMed ID: 38287342
    [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 radiopathomics based on preoperative US images and biopsy whole slide images can distinguish between luminal and non-luminal tumors in early-stage breast cancers.
    Huang Y; Yao Z; Li L; Mao R; Huang W; Hu Z; Hu Y; Wang Y; Guo R; Tang X; Yang L; Wang Y; Luo R; Yu J; Zhou J
    EBioMedicine; 2023 Aug; 94():104706. PubMed ID: 37478528
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study.
    Veldhuizen GP; Röcken C; Behrens HM; Cifci D; Muti HS; Yoshikawa T; Arai T; Oshima T; Tan P; Ebert MP; Pearson AT; Calderaro J; Grabsch HI; Kather JN
    Gastric Cancer; 2023 Sep; 26(5):708-720. PubMed ID: 37269416
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts.
    Fremond S; Andani S; Barkey Wolf J; Dijkstra J; Melsbach S; Jobsen JJ; Brinkhuis M; Roothaan S; Jurgenliemk-Schulz I; Lutgens LCHW; Nout RA; van der Steen-Banasik EM; de Boer SM; Powell ME; Singh N; Mileshkin LR; Mackay HJ; Leary A; Nijman HW; Smit VTHBM; Creutzberg CL; Horeweg N; Koelzer VH; Bosse T
    Lancet Digit Health; 2023 Feb; 5(2):e71-e82. PubMed ID: 36496303
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning-based prediction of treatment prognosis from nasal polyp histology slides.
    Wang K; Ren Y; Ma L; Fan Y; Yang Z; Yang Q; Shi J; Sun Y
    Int Forum Allergy Rhinol; 2023 May; 13(5):886-898. PubMed ID: 36066094
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Prediction of clinicopathological features, multi-omics events and prognosis based on digital pathology and deep learning in HR
    Hu J; Lv H; Zhao S; Lin CJ; Su GH; Shao ZM
    J Thorac Dis; 2023 May; 15(5):2528-2543. PubMed ID: 37324098
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer.
    Wang S; Liu Z; Rong Y; Zhou B; Bai Y; Wei W; Wei W; Wang M; Guo Y; Tian J
    Radiother Oncol; 2019 Mar; 132():171-177. PubMed ID: 30392780
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Transcriptional intra-tumour heterogeneity predicted by deep learning in routine breast histopathology slides provides independent prognostic information.
    Wang Y; Ali MA; Vallon-Christersson J; Humphreys K; Hartman J; Rantalainen M
    Eur J Cancer; 2023 Sep; 191():112953. PubMed ID: 37494846
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Integrative deep learning analysis improves colon adenocarcinoma patient stratification at risk for mortality.
    Zhou J; Foroughi Pour A; Deirawan H; Daaboul F; Aung TN; Beydoun R; Ahmed FS; Chuang JH
    EBioMedicine; 2023 Aug; 94():104726. PubMed ID: 37499603
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Outcome-Supervised Deep Learning on Pathologic Whole Slide Images for Survival Prediction of Immunotherapy in Patients with Non-Small Cell Lung Cancer.
    Li B; Yang L; Zhang H; Li H; Jiang C; Yao Y; Cheng S; Zou B; Fan B; Dong T; Wang L
    Mod Pathol; 2023 Aug; 36(8):100208. PubMed ID: 37149222
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Improved breast cancer histological grading using deep learning.
    Wang Y; Acs B; Robertson S; Liu B; Solorzano L; Wählby C; Hartman J; Rantalainen M
    Ann Oncol; 2022 Jan; 33(1):89-98. PubMed ID: 34756513
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study.
    Jiang Y; Zhang Z; Yuan Q; Wang W; Wang H; Li T; Huang W; Xie J; Chen C; Sun Z; Yu J; Xu Y; Poultsides GA; Xing L; Zhou Z; Li G; Li R
    Lancet Digit Health; 2022 May; 4(5):e340-e350. PubMed ID: 35461691
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images.
    Wang CW; Chang CC; Lee YC; Lin YJ; Lo SC; Hsu PC; Liou YA; Wang CH; Chao TK
    Comput Med Imaging Graph; 2022 Jul; 99():102093. PubMed ID: 35752000
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.