203 related articles for article (PubMed ID: 34756513)
1. Improved breast cancer histological grading using deep learning.
Wang Y; Acs B; Robertson S; Liu B; Solorzano L; Wählby C; Hartman J; Rantalainen M
Ann Oncol; 2022 Jan; 33(1):89-98. PubMed ID: 34756513
[TBL] [Abstract][Full Text] [Related]
2. Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer.
Sharma A; Weitz P; Wang Y; Liu B; Vallon-Christersson J; Hartman J; Rantalainen M
Breast Cancer Res; 2024 Jan; 26(1):17. PubMed ID: 38287342
[TBL] [Abstract][Full Text] [Related]
3. An MRI-based Radiomics Approach to Improve Breast Cancer Histological Grading.
Jiang M; Li CL; Luo XM; Chuan ZR; Chen RX; Jin CY
Acad Radiol; 2023 Sep; 30(9):1794-1804. PubMed ID: 36609032
[TBL] [Abstract][Full Text] [Related]
4. Transcriptional intra-tumour heterogeneity predicted by deep learning in routine breast histopathology slides provides independent prognostic information.
Wang Y; Ali MA; Vallon-Christersson J; Humphreys K; Hartman J; Rantalainen M
Eur J Cancer; 2023 Sep; 191():112953. PubMed ID: 37494846
[TBL] [Abstract][Full Text] [Related]
5. Value of the Nottingham Histological Grading Parameters and Nottingham Prognostic Index in Canine Mammary Carcinoma.
Santos M; Correia-Gomes C; Marcos R; Santos A; De Matos A; Lopes C; Dias-Pereira P
Anticancer Res; 2015 Jul; 35(7):4219-27. PubMed ID: 26124382
[TBL] [Abstract][Full Text] [Related]
6. Determining breast cancer histological grade from RNA-sequencing data.
Wang M; Klevebring D; Lindberg J; Czene K; Grönberg H; Rantalainen M
Breast Cancer Res; 2016 May; 18(1):48. PubMed ID: 27165105
[TBL] [Abstract][Full Text] [Related]
7. Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images.
Wetstein SC; de Jong VMT; Stathonikos N; Opdam M; Dackus GMHE; Pluim JPW; van Diest PJ; Veta M
Sci Rep; 2022 Sep; 12(1):15102. PubMed ID: 36068311
[TBL] [Abstract][Full Text] [Related]
8. Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study.
Veldhuizen GP; Röcken C; Behrens HM; Cifci D; Muti HS; Yoshikawa T; Arai T; Oshima T; Tan P; Ebert MP; Pearson AT; Calderaro J; Grabsch HI; Kather JN
Gastric Cancer; 2023 Sep; 26(5):708-720. PubMed ID: 37269416
[TBL] [Abstract][Full Text] [Related]
9. Deep learning radiopathomics based on preoperative US images and biopsy whole slide images can distinguish between luminal and non-luminal tumors in early-stage breast cancers.
Huang Y; Yao Z; Li L; Mao R; Huang W; Hu Z; Hu Y; Wang Y; Guo R; Tang X; Yang L; Wang Y; Luo R; Yu J; Zhou J
EBioMedicine; 2023 Aug; 94():104706. PubMed ID: 37478528
[TBL] [Abstract][Full Text] [Related]
10. Histologic grading of invasive lobular carcinoma: does use of a 2-tiered nuclear grading system improve interobserver variability?
Adams AL; Chhieng DC; Bell WC; Winokur T; Hameed O
Ann Diagn Pathol; 2009 Aug; 13(4):223-5. PubMed ID: 19608079
[TBL] [Abstract][Full Text] [Related]
11. Artificial intelligence quantified tumour-stroma ratio is an independent predictor for overall survival in resectable colorectal cancer.
Zhao K; Li Z; Yao S; Wang Y; Wu X; Xu Z; Wu L; Huang Y; Liang C; Liu Z
EBioMedicine; 2020 Nov; 61():103054. PubMed ID: 33039706
[TBL] [Abstract][Full Text] [Related]
12. The importance of the histologic grade of invasive breast carcinoma and response to chemotherapy.
Pinder SE; Murray S; Ellis IO; Trihia H; Elston CW; Gelber RD; Goldhirsch A; Lindtner J; Cortés-Funes H; Simoncini E; Byrne MJ; Golouh R; Rudenstam CM; Castiglione-Gertsch M; Gusterson BA
Cancer; 1998 Oct; 83(8):1529-39. PubMed ID: 9781946
[TBL] [Abstract][Full Text] [Related]
13. Long term prognostic value of Nottingham histological grade and its components in early (pT1N0M0) breast carcinoma.
Frkovic-Grazio S; Bracko M
J Clin Pathol; 2002 Feb; 55(2):88-92. PubMed ID: 11865000
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Prediction of prognosis and treatment response in ovarian cancer patients from histopathology images using graph deep learning: a multicenter retrospective study.
Yang Z; Zhang Y; Zhuo L; Sun K; Meng F; Zhou M; Sun J
Eur J Cancer; 2024 Mar; 199():113532. PubMed ID: 38241820
[TBL] [Abstract][Full Text] [Related]
16. A multivariable prognostic score to guide systemic therapy in early-stage HER2-positive breast cancer: a retrospective study with an external evaluation.
Prat A; Guarneri V; Paré L; Griguolo G; Pascual T; Dieci MV; Chic N; González-Farré B; Frassoldati A; Sanfeliu E; Cejalvo JM; Muñoz M; Bisagni G; Brasó-Maristany F; Urso L; Vidal M; Brandes AA; Adamo B; Musolino A; Miglietta F; Conte B; Oliveira M; Saura C; Pernas S; Alarcón J; Llombart-Cussac A; Cortés J; Manso L; López R; Ciruelos E; Schettini F; Villagrasa P; Carey LA; Perou CM; Piacentini F; D'Amico R; Tagliafico E; Parker JS; Conte P
Lancet Oncol; 2020 Nov; 21(11):1455-1464. PubMed ID: 33152285
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Prediction of clinicopathological features, multi-omics events and prognosis based on digital pathology and deep learning in HR
Hu J; Lv H; Zhao S; Lin CJ; Su GH; Shao ZM
J Thorac Dis; 2023 May; 15(5):2528-2543. PubMed ID: 37324098
[TBL] [Abstract][Full Text] [Related]
19. Hypoxia inducible factor-1alpha is a prognostic marker in premenopausal patients with intermediate to highly differentiated breast cancer but not a predictive marker for tamoxifen response.
Kronblad A; Jirström K; Rydén L; Nordenskjöld B; Landberg G
Int J Cancer; 2006 May; 118(10):2609-16. PubMed ID: 16381002
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
