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 *

176 related articles for article (PubMed ID: 37509295)

  • 1. Automated Detection and Scoring of Tumor-Infiltrating Lymphocytes in Breast Cancer Histopathology Slides.
    Yosofvand M; Khan SY; Dhakal R; Nejat A; Moustaid-Moussa N; Rahman RL; Moussa H
    Cancers (Basel); 2023 Jul; 15(14):. PubMed ID: 37509295
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A pathomic approach for tumor-infiltrating lymphocytes classification on breast cancer digital pathology images.
    Verdicchio M; Brancato V; Cavaliere C; Isgrò F; Salvatore M; Aiello M
    Heliyon; 2023 Mar; 9(3):e14371. PubMed ID: 36950640
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep Learning-Based Mapping of Tumor Infiltrating Lymphocytes in Whole Slide Images of 23 Types of Cancer.
    Abousamra S; Gupta R; Hou L; Batiste R; Zhao T; Shankar A; Rao A; Chen C; Samaras D; Kurc T; Saltz J
    Front Oncol; 2021; 11():806603. PubMed ID: 35251953
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma.
    Shaban M; Raza SEA; Hassan M; Jamshed A; Mushtaq S; Loya A; Batis N; Brooks J; Nankivell P; Sharma N; Robinson M; Mehanna H; Khurram SA; Rajpoot N
    J Pathol; 2022 Feb; 256(2):174-185. PubMed ID: 34698394
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.
    Thagaard J; Broeckx G; Page DB; Jahangir CA; Verbandt S; Kos Z; Gupta R; Khiroya R; Abduljabbar K; Acosta Haab G; Acs B; Akturk G; Almeida JS; Alvarado-Cabrero I; Amgad M; Azmoudeh-Ardalan F; Badve S; Baharun NB; Balslev E; Bellolio ER; Bheemaraju V; Blenman KR; Botinelly Mendonça Fujimoto L; Bouchmaa N; Burgues O; Chardas A; Chon U Cheang M; Ciompi F; Cooper LA; Coosemans A; Corredor G; Dahl AB; Dantas Portela FL; Deman F; Demaria S; Doré Hansen J; Dudgeon SN; Ebstrup T; Elghazawy M; Fernandez-Martín C; Fox SB; Gallagher WM; Giltnane JM; Gnjatic S; Gonzalez-Ericsson PI; Grigoriadis A; Halama N; Hanna MG; Harbhajanka A; Hart SN; Hartman J; Hauberg S; Hewitt S; Hida AI; Horlings HM; Husain Z; Hytopoulos E; Irshad S; Janssen EA; Kahila M; Kataoka TR; Kawaguchi K; Kharidehal D; Khramtsov AI; Kiraz U; Kirtani P; Kodach LL; Korski K; Kovács A; Laenkholm AV; Lang-Schwarz C; Larsimont D; Lennerz JK; Lerousseau M; Li X; Ly A; Madabhushi A; Maley SK; Manur Narasimhamurthy V; Marks DK; McDonald ES; Mehrotra R; Michiels S; Minhas FUAA; Mittal S; Moore DA; Mushtaq S; Nighat H; Papathomas T; Penault-Llorca F; Perera RD; Pinard CJ; Pinto-Cardenas JC; Pruneri G; Pusztai L; Rahman A; Rajpoot NM; Rapoport BL; Rau TT; Reis-Filho JS; Ribeiro JM; Rimm D; Roslind A; Vincent-Salomon A; Salto-Tellez M; Saltz J; Sayed S; Scott E; Siziopikou KP; Sotiriou C; Stenzinger A; Sughayer MA; Sur D; Fineberg S; Symmans F; Tanaka S; Taxter T; Tejpar S; Teuwen J; Thompson EA; Tramm T; Tran WT; van der Laak J; van Diest PJ; Verghese GE; Viale G; Vieth M; Wahab N; Walter T; Waumans Y; Wen HY; Yang W; Yuan Y; Zin RM; Adams S; Bartlett J; Loibl S; Denkert C; Savas P; Loi S; Salgado R; Specht Stovgaard E
    J Pathol; 2023 Aug; 260(5):498-513. PubMed ID: 37608772
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Pragmatic Machine Learning Approach to Quantify Tumor-Infiltrating Lymphocytes in Whole Slide Images.
    Shvetsov N; Grønnesby M; Pedersen E; Møllersen K; Busund LR; Schwienbacher R; Bongo LA; Kilvaer TK
    Cancers (Basel); 2022 Jun; 14(12):. PubMed ID: 35740648
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Reproducible evaluation of tumor-infiltrating lymphocytes (TILs) using the recommendations of International TILs Working Group 2014.
    Kojima YA; Wang X; Sun H; Compton F; Covinsky M; Zhang S
    Ann Diagn Pathol; 2018 Aug; 35():77-79. PubMed ID: 29886396
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Tumor-Infiltrating Lymphocyte Recognition in Primary Melanoma by Deep Learning Convolutional Neural Network.
    Ugolini F; De Logu F; Iannone LF; Brutti F; Simi S; Maio V; de Giorgi V; Maria di Giacomo A; Miracco C; Federico F; Peris K; Palmieri G; Cossu A; Mandalà M; Massi D; Laurino M
    Am J Pathol; 2023 Dec; 193(12):2099-2110. PubMed ID: 37734590
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Update on tumor-infiltrating lymphocytes (TILs) in breast cancer, including recommendations to assess TILs in residual disease after neoadjuvant therapy and in carcinoma in situ: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.
    Dieci MV; Radosevic-Robin N; Fineberg S; van den Eynden G; Ternes N; Penault-Llorca F; Pruneri G; D'Alfonso TM; Demaria S; Castaneda C; Sanchez J; Badve S; Michiels S; Bossuyt V; Rojo F; Singh B; Nielsen T; Viale G; Kim SR; Hewitt S; Wienert S; Loibl S; Rimm D; Symmans F; Denkert C; Adams S; Loi S; Salgado R;
    Semin Cancer Biol; 2018 Oct; 52(Pt 2):16-25. PubMed ID: 29024776
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A panoptic segmentation dataset and deep-learning approach for explainable scoring of tumor-infiltrating lymphocytes.
    Liu S; Amgad M; More D; Rathore MA; Salgado R; Cooper LAD
    NPJ Breast Cancer; 2024 Jun; 10(1):52. PubMed ID: 38942745
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The prognostic value of tumor-stroma ratio and a newly developed computer-aided quantitative analysis of routine H&E slides in high-grade serous ovarian cancer.
    van Wagensveld L; Walker C; Hahn K; Sanders J; Kruitwagen R; van der Aa M; Sonke G; Rottenberg S; Van de Vijver K; Janowczyk A; Horlings H
    Res Sq; 2023 Nov; ():. PubMed ID: 38014112
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Detection of tumour infiltrating lymphocytes in CD3 and CD8 stained histopathological images using a two-phase deep CNN.
    Zafar MM; Rauf Z; Sohail A; Khan AR; Obaidullah M; Khan SH; Lee YS; Khan A
    Photodiagnosis Photodyn Ther; 2022 Mar; 37():102676. PubMed ID: 34890783
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Interobserver Agreement Between Pathologists Assessing Tumor-Infiltrating Lymphocytes (TILs) in Breast Cancer Using Methodology Proposed by the International TILs Working Group.
    Swisher SK; Wu Y; Castaneda CA; Lyons GR; Yang F; Tapia C; Wang X; Casavilca SA; Bassett R; Castillo M; Sahin A; Mittendorf EA
    Ann Surg Oncol; 2016 Jul; 23(7):2242-8. PubMed ID: 26965699
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Standardized evaluation of tumor-infiltrating lymphocytes in breast cancer: results of the ring studies of the international immuno-oncology biomarker working group.
    Denkert C; Wienert S; Poterie A; Loibl S; Budczies J; Badve S; Bago-Horvath Z; Bane A; Bedri S; Brock J; Chmielik E; Christgen M; Colpaert C; Demaria S; Van den Eynden G; Floris G; Fox SB; Gao D; Ingold Heppner B; Kim SR; Kos Z; Kreipe HH; Lakhani SR; Penault-Llorca F; Pruneri G; Radosevic-Robin N; Rimm DL; Schnitt SJ; Sinn BV; Sinn P; Sirtaine N; O'Toole SA; Viale G; Van de Vijver K; de Wind R; von Minckwitz G; Klauschen F; Untch M; Fasching PA; Reimer T; Willard-Gallo K; Michiels S; Loi S; Salgado R
    Mod Pathol; 2016 Oct; 29(10):1155-64. PubMed ID: 27363491
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Training pathologists to assess stromal tumour-infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific research.
    Ly A; Garcia V; Blenman KRM; Ehinger A; Elfer K; Hanna MG; Li X; Peeters DJE; Birmingham R; Dudgeon S; Gardecki E; Gupta R; Lennerz J; Pan T; Saltz J; Wharton KA; Ehinger D; Acs B; Dequeker EMC; Salgado R; Gallas BD
    Histopathology; 2024 May; 84(6):915-923. PubMed ID: 38433289
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep learning model improves tumor-infiltrating lymphocyte evaluation and therapeutic response prediction in breast cancer.
    Choi S; Cho SI; Jung W; Lee T; Choi SJ; Song S; Park G; Park S; Ma M; Pereira S; Yoo D; Shin S; Ock CY; Kim S
    NPJ Breast Cancer; 2023 Aug; 9(1):71. PubMed ID: 37648694
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Tumour-infiltrating lymphocytes and response to neoadjuvant letrozole in patients with early oestrogen receptor-positive breast cancer: analysis from a nationwide phase II DBCG trial.
    Skriver SK; Jensen MB; Knoop AS; Ejlertsen B; Laenkholm AV
    Breast Cancer Res; 2020 May; 22(1):46. PubMed ID: 32410705
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Tumor-infiltrating lymphocytes in breast FNA biopsy cytology: A predictor of tumor-infiltrating lymphocytes in histologic evaluation.
    Odate T; Le MK; Kawai M; Kubota M; Yamaguchi Y; Kondo T
    Cancer Cytopathol; 2022 May; 130(5):336-343. PubMed ID: 35129867
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning for detecting tumour-infiltrating lymphocytes in testicular germ cell tumours.
    Linder N; Taylor JC; Colling R; Pell R; Alveyn E; Joseph J; Protheroe A; Lundin M; Lundin J; Verrill C
    J Clin Pathol; 2019 Feb; 72(2):157-164. PubMed ID: 30518631
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Magnetic resonance imaging and molecular features associated with tumor-infiltrating lymphocytes in breast cancer.
    Wu J; Li X; Teng X; Rubin DL; Napel S; Daniel BL; Li R
    Breast Cancer Res; 2018 Sep; 20(1):101. PubMed ID: 30176944
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.