BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

122 related articles for article (PubMed ID: 38241820)

  • 21. 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]  

  • 22. SAMPLER: unsupervised representations for rapid analysis of whole slide tissue images.
    Mukashyaka P; Sheridan TB; Foroughi Pour A; Chuang JH
    EBioMedicine; 2024 Jan; 99():104908. PubMed ID: 38101298
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study.
    Yang H; Chen L; Cheng Z; Yang M; Wang J; Lin C; Wang Y; Huang L; Chen Y; Peng S; Ke Z; Li W
    BMC Med; 2021 Mar; 19(1):80. PubMed ID: 33775248
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Development and validation of artificial intelligence-based prescreening of large-bowel biopsies taken in the UK and Portugal: a retrospective cohort study.
    Bilal M; Tsang YW; Ali M; Graham S; Hero E; Wahab N; Dodd K; Sahota H; Wu S; Lu W; Jahanifar M; Robinson A; Azam A; Benes K; Nimir M; Hewitt K; Bhalerao A; Eldaly H; Raza SEA; Gopalakrishnan K; Minhas F; Snead D; Rajpoot N
    Lancet Digit Health; 2023 Nov; 5(11):e786-e797. PubMed ID: 37890902
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Clinical actionability of triaging DNA mismatch repair deficient colorectal cancer from biopsy samples using deep learning.
    Jiang W; Mei WJ; Xu SY; Ling YH; Li WR; Kuang JB; Li HS; Hui H; Li JB; Cai MY; Pan ZZ; Zhang HZ; Li L; Ding PR
    EBioMedicine; 2022 Jul; 81():104120. PubMed ID: 35753152
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Exploring prognostic indicators in the pathological images of ovarian cancer based on a deep survival network.
    Wu M; Zhu C; Yang J; Cheng S; Yang X; Gu S; Xu S; Wu Y; Shen W; Huang S; Wang Y
    Front Genet; 2022; 13():1069673. PubMed ID: 36685892
    [No Abstract]   [Full Text] [Related]  

  • 27. Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study.
    Jiang Y; Liang X; Han Z; Wang W; Xi S; Li T; Chen C; Yuan Q; Li N; Yu J; Xie Y; Xu Y; Zhou Z; Poultsides GA; Li G; Li R
    Lancet Digit Health; 2021 Jun; 3(6):e371-e382. PubMed ID: 34045003
    [TBL] [Abstract][Full Text] [Related]  

  • 28. From slides to insights: Harnessing deep learning for prognostic survival prediction in human colorectal cancer histology.
    Verma J; Sandhu A; Popli R; Kumar R; Khullar V; Kansal I; Sharma A; Garg K; Kashyap N; Aurangzeb K
    Open Life Sci; 2023; 18(1):20220777. PubMed ID: 38152577
    [TBL] [Abstract][Full Text] [Related]  

  • 29. PPsNet: An improved deep learning model for microsatellite instability high prediction in colorectal cancer from whole slide images.
    Lou J; Xu J; Zhang Y; Sun Y; Fang A; Liu J; Mur LAJ; Ji B
    Comput Methods Programs Biomed; 2022 Oct; 225():107095. PubMed ID: 36057226
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Histopathology and proteomics are synergistic for High-Grade Serous Ovarian Cancer platinum response prediction.
    Kilim O; Olar A; Biricz A; Madaras L; Pollner P; Szállási Z; Sztupinszki Z; Csabai I
    medRxiv; 2024 Jun; ():. PubMed ID: 38883738
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer:A multicenter study.
    Li B; Li F; Liu Z; Xu F; Ye G; Li W; Zhang Y; Zhu T; Shao L; Chen C; Sun C; Qiu B; Bu H; Wang K; Tian J
    Breast; 2022 Dec; 66():183-190. PubMed ID: 36308926
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A retrospective analysis using deep-learning models for prediction of survival outcome and benefit of adjuvant chemotherapy in stage II/III colorectal cancer.
    Li X; Jonnagaddala J; Yang S; Zhang H; Xu XS
    J Cancer Res Clin Oncol; 2022 Aug; 148(8):1955-1963. PubMed ID: 35332389
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Predicting Lymph Node Metastasis From Primary Cervical Squamous Cell Carcinoma Based on Deep Learning in Histopathologic Images.
    Guo Q; Qu L; Zhu J; Li H; Wu Y; Wang S; Yu M; Wu J; Wen H; Ju X; Wang X; Bi R; Shi Y; Wu X
    Mod Pathol; 2023 Dec; 36(12):100316. PubMed ID: 37634868
    [TBL] [Abstract][Full Text] [Related]  

  • 34. End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study.
    Jiang X; Hoffmeister M; Brenner H; Muti HS; Yuan T; Foersch S; West NP; Brobeil A; Jonnagaddala J; Hawkins N; Ward RL; Brinker TJ; Saldanha OL; Ke J; Müller W; Grabsch HI; Quirke P; Truhn D; Kather JN
    Lancet Digit Health; 2024 Jan; 6(1):e33-e43. PubMed ID: 38123254
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Multi-omics Deep-learning Prediction of Homologous Recombination Deficiency-like Phenotype Improved Risk Stratification and Guided Therapeutic Decisions in Gynecological Cancers.
    Zhang Y; Yan C; Yang Z; Zhou M; Sun J
    IEEE J Biomed Health Inform; 2023 Aug; PP():. PubMed ID: 37616142
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Accuracy of whole slide image based image analysis is adversely affected by preanalytical factors such as stained tissue slide and paraffin block age.
    Shaker N; Sardana R; Hamasaki S; Nohle DG; Ayers LW; Parwani AV
    J Pathol Inform; 2022; 13():100121. PubMed ID: 36268058
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Histopathology images-based deep learning prediction of prognosis and therapeutic response in small cell lung cancer.
    Zhang Y; Yang Z; Chen R; Zhu Y; Liu L; Dong J; Zhang Z; Sun X; Ying J; Lin D; Yang L; Zhou M
    NPJ Digit Med; 2024 Jan; 7(1):15. PubMed ID: 38238410
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Development and Validation of a Pathology Image Analysis-based Predictive Model for Lung Adenocarcinoma Prognosis - A Multi-cohort Study.
    Luo X; Yin S; Yang L; Fujimoto J; Yang Y; Moran C; Kalhor N; Weissferdt A; Xie Y; Gazdar A; Minna J; Wistuba II; Mao Y; Xiao G
    Sci Rep; 2019 May; 9(1):6886. PubMed ID: 31053738
    [TBL] [Abstract][Full Text] [Related]  

  • 40.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.