BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

608 related articles for article (PubMed ID: 31397859)

  • 1. Assessment of Machine Learning of Breast Pathology Structures for Automated Differentiation of Breast Cancer and High-Risk Proliferative Lesions.
    Mercan E; Mehta S; Bartlett J; Shapiro LG; Weaver DL; Elmore JG
    JAMA Netw Open; 2019 Aug; 2(8):e198777. PubMed ID: 31397859
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Diagnostic concordance among pathologists interpreting breast biopsy specimens.
    Elmore JG; Longton GM; Carney PA; Geller BM; Onega T; Tosteson AN; Nelson HD; Pepe MS; Allison KH; Schnitt SJ; O'Malley FP; Weaver DL
    JAMA; 2015 Mar; 313(11):1122-32. PubMed ID: 25781441
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Evaluation of 12 strategies for obtaining second opinions to improve interpretation of breast histopathology: simulation study.
    Elmore JG; Tosteson AN; Pepe MS; Longton GM; Nelson HD; Geller B; Carney PA; Onega T; Allison KH; Jackson SL; Weaver DL
    BMJ; 2016 Jun; 353():i3069. PubMed ID: 27334105
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The diagnostic challenge of low-grade ductal carcinoma in situ.
    Onega T; Weaver DL; Frederick PD; Allison KH; Tosteson ANA; Carney PA; Geller BM; Longton GM; Nelson HD; Oster NV; Pepe MS; Elmore JG
    Eur J Cancer; 2017 Jul; 80():39-47. PubMed ID: 28535496
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep-learning model to improve histological grading and predict upstaging of atypical ductal hyperplasia / ductal carcinoma in situ on breast biopsy.
    Huang CY; Chang RF; Lin CY; Hsieh MS; Liao PC; Wang YJ; Kao YC; Porta L; Lin PY; Lee CC; Lee YH
    Histopathology; 2024 May; 84(6):983-1002. PubMed ID: 38288642
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep learning of mammogram images to reduce unnecessary breast biopsies: a preliminary study.
    Liu C; Sun M; Arefan D; Zuley M; Sumkin J; Wu S
    Breast Cancer Res; 2024 May; 26(1):82. PubMed ID: 38790005
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Stereotactic and sonographic large-core biopsy of nonpalpable breast lesions: results of the Radiologic Diagnostic Oncology Group V study.
    Fajardo LL; Pisano ED; Caudry DJ; Gatsonis CA; Berg WA; Connolly J; Schnitt S; Page DL; McNeil BJ;
    Acad Radiol; 2004 Mar; 11(3):293-308. PubMed ID: 15035520
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Variability in Pathologists' Interpretations of Individual Breast Biopsy Slides: A Population Perspective.
    Elmore JG; Nelson HD; Pepe MS; Longton GM; Tosteson AN; Geller B; Onega T; Carney PA; Jackson SL; Allison KH; Weaver DL
    Ann Intern Med; 2016 May; 164(10):649-55. PubMed ID: 26999810
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Atypia in breast pathology: what pathologists need to know.
    Katayama A; Toss MS; Parkin M; Ellis IO; Quinn C; Rakha EA
    Pathology; 2022 Feb; 54(1):20-31. PubMed ID: 34872753
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Accuracy is in the eyes of the pathologist: The visual interpretive process and diagnostic accuracy with digital whole slide images.
    Brunyé TT; Mercan E; Weaver DL; Elmore JG
    J Biomed Inform; 2017 Feb; 66():171-179. PubMed ID: 28087402
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification and transfer of spatial transcriptomics signatures for cancer diagnosis.
    Yoosuf N; Navarro JF; Salmén F; Ståhl PL; Daub CO
    Breast Cancer Res; 2020 Jan; 22(1):6. PubMed ID: 31931856
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk.
    Klimov S; Miligy IM; Gertych A; Jiang Y; Toss MS; Rida P; Ellis IO; Green A; Krishnamurti U; Rakha EA; Aneja R
    Breast Cancer Res; 2019 Jul; 21(1):83. PubMed ID: 31358020
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A deep learning model for breast ductal carcinoma in situ classification in whole slide images.
    Kanavati F; Ichihara S; Tsuneki M
    Virchows Arch; 2022 May; 480(5):1009-1022. PubMed ID: 35076741
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Computational pathology to discriminate benign from malignant intraductal proliferations of the breast.
    Dong F; Irshad H; Oh EY; Lerwill MF; Brachtel EF; Jones NC; Knoblauch NW; Montaser-Kouhsari L; Johnson NB; Rao LK; Faulkner-Jones B; Wilbur DC; Schnitt SJ; Beck AH
    PLoS One; 2014; 9(12):e114885. PubMed ID: 25490766
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine learning-based image analysis for accelerating the diagnosis of complicated preneoplastic and neoplastic ductal lesions in breast biopsy tissues.
    Sato S; Maki S; Yamanaka T; Hoshino D; Ota Y; Yoshioka E; Kawachi K; Washimi K; Suzuki M; Ohkubo Y; Yokose T; Yamashita T; Ohtori S; Miyagi Y
    Breast Cancer Res Treat; 2021 Aug; 188(3):649-659. PubMed ID: 33934277
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep learning-based grading of ductal carcinoma in situ in breast histopathology images.
    Wetstein SC; Stathonikos N; Pluim JPW; Heng YJ; Ter Hoeve ND; Vreuls CPH; van Diest PJ; Veta M
    Lab Invest; 2021 Apr; 101(4):525-533. PubMed ID: 33608619
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identifying and processing the gap between perceived and actual agreement in breast pathology interpretation.
    Carney PA; Allison KH; Oster NV; Frederick PD; Morgan TR; Geller BM; Weaver DL; Elmore JG
    Mod Pathol; 2016 Jul; 29(7):717-26. PubMed ID: 27056072
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Region of interest identification and diagnostic agreement in breast pathology.
    Nagarkar DB; Mercan E; Weaver DL; Brunyé TT; Carney PA; Rendi MH; Beck AH; Frederick PD; Shapiro LG; Elmore JG
    Mod Pathol; 2016 Sep; 29(9):1004-11. PubMed ID: 27198567
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Surgical implications and variability in the use of the flat epithelial atypia diagnosis on breast biopsy specimens.
    Samples LS; Rendi MH; Frederick PD; Allison KH; Nelson HD; Morgan TR; Weaver DL; Elmore JG
    Breast; 2017 Aug; 34():34-43. PubMed ID: 28475933
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Nipple aspirate fluid cytology in breast carcinoma.
    Krishnamurthy S; Sneige N; Thompson PA; Marcy SM; Singletary SE; Cristofanilli M; Hunt KK; Kuerer HM
    Cancer; 2003 Apr; 99(2):97-104. PubMed ID: 12704689
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 31.