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 *

284 related articles for article (PubMed ID: 33471115)

  • 1. Development and Validation of a Deep Learning Model to Quantify Glomerulosclerosis in Kidney Biopsy Specimens.
    Marsh JN; Liu TC; Wilson PC; Swamidass SJ; Gaut JP
    JAMA Netw Open; 2021 Jan; 4(1):e2030939. PubMed ID: 33471115
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections.
    Marsh JN; Matlock MK; Kudose S; Liu TC; Stappenbeck TS; Gaut JP; Swamidass SJ
    IEEE Trans Med Imaging; 2018 Dec; 37(12):2718-2728. PubMed ID: 29994669
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A large-scale retrospective study enabled deep-learning based pathological assessment of frozen procurement kidney biopsies to predict graft loss and guide organ utilization.
    Yi Z; Xi C; Menon MC; Cravedi P; Tedla F; Soto A; Sun Z; Liu K; Zhang J; Wei C; Chen M; Wang W; Veremis B; Garcia-Barros M; Kumar A; Haakinson D; Brody R; Azeloglu EU; Gallon L; O'Connell P; Naesens M; Shapiro R; Colvin RB; Ward S; Salem F; Zhang W
    Kidney Int; 2024 Feb; 105(2):281-292. PubMed ID: 37923131
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Deep learning quantification of percent steatosis in donor liver biopsy frozen sections.
    Sun L; Marsh JN; Matlock MK; Chen L; Gaut JP; Brunt EM; Swamidass SJ; Liu TC
    EBioMedicine; 2020 Oct; 60():103029. PubMed ID: 32980688
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated quantification of renal interstitial fibrosis for computer-aided diagnosis: A comprehensive tissue structure segmentation method.
    Tey WK; Kuang YC; Ooi MP; Khoo JJ
    Comput Methods Programs Biomed; 2018 Mar; 155():109-120. PubMed ID: 29512490
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens.
    Nagpal K; Foote D; Tan F; Liu Y; Chen PC; Steiner DF; Manoj N; Olson N; Smith JL; Mohtashamian A; Peterson B; Amin MB; Evans AJ; Sweet JW; Cheung C; van der Kwast T; Sangoi AR; Zhou M; Allan R; Humphrey PA; Hipp JD; Gadepalli K; Corrado GS; Peng LH; Stumpe MC; Mermel CH
    JAMA Oncol; 2020 Sep; 6(9):1372-1380. PubMed ID: 32701148
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.
    Ehteshami Bejnordi B; Veta M; Johannes van Diest P; van Ginneken B; Karssemeijer N; Litjens G; van der Laak JAWM; ; Hermsen M; Manson QF; Balkenhol M; Geessink O; Stathonikos N; van Dijk MC; Bult P; Beca F; Beck AH; Wang D; Khosla A; Gargeya R; Irshad H; Zhong A; Dou Q; Li Q; Chen H; Lin HJ; Heng PA; Haß C; Bruni E; Wong Q; Halici U; Öner MÜ; Cetin-Atalay R; Berseth M; Khvatkov V; Vylegzhanin A; Kraus O; Shaban M; Rajpoot N; Awan R; Sirinukunwattana K; Qaiser T; Tsang YW; Tellez D; Annuscheit J; Hufnagl P; Valkonen M; Kartasalo K; Latonen L; Ruusuvuori P; Liimatainen K; Albarqouni S; Mungal B; George A; Demirci S; Navab N; Watanabe S; Seno S; Takenaka Y; Matsuda H; Ahmady Phoulady H; Kovalev V; Kalinovsky A; Liauchuk V; Bueno G; Fernandez-Carrobles MM; Serrano I; Deniz O; Racoceanu D; Venâncio R
    JAMA; 2017 Dec; 318(22):2199-2210. PubMed ID: 29234806
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Expanded criteria donor kidneys where the paired kidney is discarded owing to biopsy results: a concept that needs revision.
    Bodzin AS; Leiby BE; Ramirez CB; Frank AM; Doria C
    Exp Clin Transplant; 2014 Dec; 12(6):499-505. PubMed ID: 25489800
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study.
    Bulten W; Pinckaers H; van Boven H; Vink R; de Bel T; van Ginneken B; van der Laak J; Hulsbergen-van de Kaa C; Litjens G
    Lancet Oncol; 2020 Feb; 21(2):233-241. PubMed ID: 31926805
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development and Validation of a Deep Learning Model to Quantify Interstitial Fibrosis and Tubular Atrophy From Kidney Ultrasonography Images.
    Athavale AM; Hart PD; Itteera M; Cimbaluk D; Patel T; Alabkaa A; Arruda J; Singh A; Rosenberg A; Kulkarni H
    JAMA Netw Open; 2021 May; 4(5):e2111176. PubMed ID: 34028548
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep Learning Algorithms for the Prediction of Posttransplant Renal Function in Deceased-Donor Kidney Recipients: A Preliminary Study Based on Pretransplant Biopsy.
    Luo Y; Liang J; Hu X; Tang Z; Zhang J; Han L; Dong Z; Deng W; Miao B; Ren Y; Na N
    Front Med (Lausanne); 2021; 8():676461. PubMed ID: 35118080
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides.
    Wei JW; Suriawinata AA; Vaickus LJ; Ren B; Liu X; Lisovsky M; Tomita N; Abdollahi B; Kim AS; Snover DC; Baron JA; Barry EL; Hassanpour S
    JAMA Netw Open; 2020 Apr; 3(4):e203398. PubMed ID: 32324237
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images.
    Hekler A; Utikal JS; Enk AH; Solass W; Schmitt M; Klode J; Schadendorf D; Sondermann W; Franklin C; Bestvater F; Flaig MJ; Krahl D; von Kalle C; Fröhling S; Brinker TJ
    Eur J Cancer; 2019 Sep; 118():91-96. PubMed ID: 31325876
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies.
    Raciti P; Sue J; Ceballos R; Godrich R; Kunz JD; Kapur S; Reuter V; Grady L; Kanan C; Klimstra DS; Fuchs TJ
    Mod Pathol; 2020 Oct; 33(10):2058-2066. PubMed ID: 32393768
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Reliability of deceased-donor procurement kidney biopsy images uploaded in United Network for Organ Sharing.
    Mansour SG; Hall IE; Reese PP; Jia Y; Thiessen-Philbrook H; Moeckel G; Weng FL; Revelo MP; Khalighi MA; Trivedi A; Doshi MD; Schröppel B; Parikh CR
    Clin Transplant; 2018 Dec; 32(12):e13441. PubMed ID: 30387908
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Pathologist-level classification of histopathological melanoma images with deep neural networks.
    Hekler A; Utikal JS; Enk AH; Berking C; Klode J; Schadendorf D; Jansen P; Franklin C; Holland-Letz T; Krahl D; von Kalle C; Fröhling S; Brinker TJ
    Eur J Cancer; 2019 Jul; 115():79-83. PubMed ID: 31129383
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Pre-implantation kidney biopsy: value of the expertise in determining histological score and comparison with the whole organ on a series of discarded kidneys.
    Girolami I; Gambaro G; Ghimenton C; Beccari S; Caliò A; Brunelli M; Novelli L; Boggi U; Campani D; Zaza G; Boschiero L; López JI; Martignoni G; D'Errico A; Segev D; Neil D; Eccher A
    J Nephrol; 2020 Feb; 33(1):167-176. PubMed ID: 31471818
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of Epstein-Barr Virus Status in Gastric Cancer Biopsy Specimens Using a Deep Learning Algorithm.
    Vuong TTL; Song B; Kwak JT; Kim K
    JAMA Netw Open; 2022 Oct; 5(10):e2236408. PubMed ID: 36205993
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.