These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

217 related articles for article (PubMed ID: 28325451)

  • 1. Multiview boosting digital pathology analysis of prostate cancer.
    Kwak JT; Hewitt SM
    Comput Methods Programs Biomed; 2017 Apr; 142():91-99. PubMed ID: 28325451
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine learning approaches to analyze histological images of tissues from radical prostatectomies.
    Gertych A; Ing N; Ma Z; Fuchs TJ; Salman S; Mohanty S; Bhele S; Velásquez-Vacca A; Amin MB; Knudsen BS
    Comput Med Imaging Graph; 2015 Dec; 46 Pt 2(Pt 2):197-208. PubMed ID: 26362074
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A boosting cascade for automated detection of prostate cancer from digitized histology.
    Doyle S; Madabhushi A; Feldman M; Tomaszeweski J
    Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):504-11. PubMed ID: 17354810
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A dense multi-path decoder for tissue segmentation in histopathology images.
    Vu QD; Kwak JT
    Comput Methods Programs Biomed; 2019 May; 173():119-129. PubMed ID: 31046986
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automated prostate cancer detection using T2-weighted and high-b-value diffusion-weighted magnetic resonance imaging.
    Kwak JT; Xu S; Wood BJ; Turkbey B; Choyke PL; Pinto PA; Wang S; Summers RM
    Med Phys; 2015 May; 42(5):2368-78. PubMed ID: 25979032
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of Artificial Intelligence Techniques to Evaluate Performance of a Classifier for Automatic Grading of Prostate Cancer From Digitized Histopathologic Images.
    Nir G; Karimi D; Goldenberg SL; Fazli L; Skinnider BF; Tavassoli P; Turbin D; Villamil CF; Wang G; Thompson DJS; Black PC; Salcudean SE
    JAMA Netw Open; 2019 Mar; 2(3):e190442. PubMed ID: 30848813
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study.
    Viswanath SE; Chirra PV; Yim MC; Rofsky NM; Purysko AS; Rosen MA; Bloch BN; Madabhushi A
    BMC Med Imaging; 2019 Feb; 19(1):22. PubMed ID: 30819131
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes.
    Esteban ÁE; López-Pérez M; Colomer A; Sales MA; Molina R; Naranjo V
    Comput Methods Programs Biomed; 2019 Sep; 178():303-317. PubMed ID: 31416557
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A medical texture local binary pattern for TRUS prostate segmentation.
    Kachouie NN; Fieguth P
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():5605-8. PubMed ID: 18003283
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Transition zone prostate cancer: Logistic regression and machine-learning models of quantitative ADC, shape and texture features are highly accurate for diagnosis.
    Wu M; Krishna S; Thornhill RE; Flood TA; McInnes MDF; Schieda N
    J Magn Reson Imaging; 2019 Sep; 50(3):940-950. PubMed ID: 30701625
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Quantitative comparison and reproducibility of pathologist scoring and digital image analysis of estrogen receptor β2 immunohistochemistry in prostate cancer.
    Rizzardi AE; Zhang X; Vogel RI; Kolb S; Geybels MS; Leung YK; Henriksen JC; Ho SM; Kwak J; Stanford JL; Schmechel SC
    Diagn Pathol; 2016 Jul; 11(1):63. PubMed ID: 27401406
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays.
    Ali S; Veltri R; Epstein JI; Christudass C; Madabhushi A
    Comput Med Imaging Graph; 2015 Apr; 41():3-13. PubMed ID: 25466771
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study.
    Pantanowitz L; Quiroga-Garza GM; Bien L; Heled R; Laifenfeld D; Linhart C; Sandbank J; Albrecht Shach A; Shalev V; Vecsler M; Michelow P; Hazelhurst S; Dhir R
    Lancet Digit Health; 2020 Aug; 2(8):e407-e416. PubMed ID: 33328045
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Evaluation of automatic discrimination between benign and malignant prostate tissue in the era of high precision digital pathology.
    Zhdanovich Y; Ackermann J; Wild PJ; Köllermann J; Bankov K; Döring C; Flinner N; Reis H; Wenzel M; Höh B; Mandel P; Vogl TJ; Harter P; Filipski K; Koch I; Bernatz S
    BMC Bioinformatics; 2023 Jan; 24(1):1. PubMed ID: 36597019
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multicenter validation of prostate tumor localization using multiparametric MRI and prior knowledge.
    Dinh CV; Steenbergen P; Ghobadi G; van der Poel H; Heijmink SW; de Jong J; Isebaert S; Haustermans K; Lerut E; Oyen R; Ou Y; Christos D; van der Heide UA
    Med Phys; 2017 Mar; 44(3):949-961. PubMed ID: 28039927
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A boosted Bayesian multiresolution classifier for prostate cancer detection from digitized needle biopsies.
    Doyle S; Feldman M; Tomaszewski J; Madabhushi A
    IEEE Trans Biomed Eng; 2012 May; 59(5):1205-18. PubMed ID: 20570758
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method.
    Zhan Y; Shen D
    IEEE Trans Med Imaging; 2006 Mar; 25(3):256-72. PubMed ID: 16524083
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation.
    Kan Y; Zhang Q; Hao J; Wang W; Zhuang J; Gao J; Huang H; Liang J; Marra G; Calleris G; Oderda M; Zhao X; Gontero P; Guo H
    Eur Radiol; 2020 Nov; 30(11):6274-6284. PubMed ID: 32524222
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Temporal-based needle segmentation algorithm for transrectal ultrasound prostate biopsy procedures.
    Cool DW; Gardi L; Romagnoli C; Saikaly M; Izawa JI; Fenster A
    Med Phys; 2010 Apr; 37(4):1660-73. PubMed ID: 20443487
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computer-aided diagnosis of prostate cancer on magnetic resonance imaging using a convolutional neural network algorithm.
    Ishioka J; Matsuoka Y; Uehara S; Yasuda Y; Kijima T; Yoshida S; Yokoyama M; Saito K; Kihara K; Numao N; Kimura T; Kudo K; Kumazawa I; Fujii Y
    BJU Int; 2018 Sep; 122(3):411-417. PubMed ID: 29772101
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.