166 related articles for article (PubMed ID: 37370808)
1. A Weakly Supervised Deep Learning Model and Human-Machine Fusion for Accurate Grading of Renal Cell Carcinoma from Histopathology Slides.
Zheng Q; Yang R; Xu H; Fan J; Jiao P; Ni X; Yuan J; Wang L; Chen Z; Liu X
Cancers (Basel); 2023 Jun; 15(12):. PubMed ID: 37370808
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. SAMPLER: unsupervised representations for rapid analysis of whole slide tissue images.
Mukashyaka P; Sheridan TB; Foroughi Pour A; Chuang JH
EBioMedicine; 2024 Jan; 99():104908. PubMed ID: 38101298
[TBL] [Abstract][Full Text] [Related]
4. Automated diagnosis of 7 canine skin tumors using machine learning on H&E-stained whole slide images.
Fragoso-Garcia M; Wilm F; Bertram CA; Merz S; Schmidt A; Donovan T; Fuchs-Baumgartinger A; Bartel A; Marzahl C; Diehl L; Puget C; Maier A; Aubreville M; Breininger K; Klopfleisch R
Vet Pathol; 2023 Nov; 60(6):865-875. PubMed ID: 37515411
[TBL] [Abstract][Full Text] [Related]
5. Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images.
Xiang J; Wang X; Wang X; Zhang J; Yang S; Yang W; Han X; Liu Y
Comput Biol Med; 2023 Jan; 152():106340. PubMed ID: 36481762
[TBL] [Abstract][Full Text] [Related]
6. Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study.
Yang H; Chen L; Cheng Z; Yang M; Wang J; Lin C; Wang Y; Huang L; Chen Y; Peng S; Ke Z; Li W
BMC Med; 2021 Mar; 19(1):80. PubMed ID: 33775248
[TBL] [Abstract][Full Text] [Related]
7. Clinical use of a machine learning histopathological image signature in diagnosis and survival prediction of clear cell renal cell carcinoma.
Chen S; Zhang N; Jiang L; Gao F; Shao J; Wang T; Zhang E; Yu H; Wang X; Zheng J
Int J Cancer; 2021 Feb; 148(3):780-790. PubMed ID: 32895914
[TBL] [Abstract][Full Text] [Related]
8. Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning.
Geijs DJ; Dooper S; Aswolinskiy W; Hillen LM; Amir AL; Litjens G
Med Image Anal; 2024 Apr; 93():103063. PubMed ID: 38194735
[TBL] [Abstract][Full Text] [Related]
9. CT-based transformer model for non-invasively predicting the Fuhrman nuclear grade of clear cell renal cell carcinoma.
Yang M; He X; Xu L; Liu M; Deng J; Cheng X; Wei Y; Li Q; Wan S; Zhang F; Wu L; Wang X; Song B; Liu M
Front Oncol; 2022; 12():961779. PubMed ID: 36249050
[TBL] [Abstract][Full Text] [Related]
10. Accurate Diagnosis and Survival Prediction of Bladder Cancer Using Deep Learning on Histological Slides.
Zheng Q; Yang R; Ni X; Yang S; Xiong L; Yan D; Xia L; Yuan J; Wang J; Jiao P; Wu J; Hao Y; Wang J; Guo L; Jiang Z; Wang L; Chen Z; Liu X
Cancers (Basel); 2022 Nov; 14(23):. PubMed ID: 36497289
[TBL] [Abstract][Full Text] [Related]
11. Deep learning can predict survival directly from histology in clear cell renal cell carcinoma.
Wessels F; Schmitt M; Krieghoff-Henning E; Kather JN; Nientiedt M; Kriegmair MC; Worst TS; Neuberger M; Steeg M; Popovic ZV; Gaiser T; von Kalle C; Utikal JS; Fröhling S; Michel MS; Nuhn P; Brinker TJ
PLoS One; 2022; 17(8):e0272656. PubMed ID: 35976907
[TBL] [Abstract][Full Text] [Related]
12. Machine learning-based pathomics signature could act as a novel prognostic marker for patients with clear cell renal cell carcinoma.
Chen S; Jiang L; Gao F; Zhang E; Wang T; Zhang N; Wang X; Zheng J
Br J Cancer; 2022 Mar; 126(5):771-777. PubMed ID: 34824449
[TBL] [Abstract][Full Text] [Related]
13. Critical analysis of a simplified Fuhrman grading scheme for prediction of cancer specific mortality in patients with clear cell renal cell carcinoma--Impact on prognosis.
Becker A; Hickmann D; Hansen J; Meyer C; Rink M; Schmid M; Eichelberg C; Strini K; Chromecki T; Jesche J; Regier M; Randazzo M; Tilki D; Ahyai S; Dahlem R; Fisch M; Zigeuner R; Chun FK
Eur J Surg Oncol; 2016 Mar; 42(3):419-25. PubMed ID: 26520403
[TBL] [Abstract][Full Text] [Related]
14. CT-based machine learning model to predict the Fuhrman nuclear grade of clear cell renal cell carcinoma.
Lin F; Cui EM; Lei Y; Luo LP
Abdom Radiol (NY); 2019 Jul; 44(7):2528-2534. PubMed ID: 30919041
[TBL] [Abstract][Full Text] [Related]
15. Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning.
Nazari M; Shiri I; Hajianfar G; Oveisi N; Abdollahi H; Deevband MR; Oveisi M; Zaidi H
Radiol Med; 2020 Aug; 125(8):754-762. PubMed ID: 32193870
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Development of a Histopathology Informatics Pipeline for Classification and Prediction of Clinical Outcomes in Subtypes of Renal Cell Carcinoma.
Marostica E; Barber R; Denize T; Kohane IS; Signoretti S; Golden JA; Yu KH
Clin Cancer Res; 2021 May; 27(10):2868-2878. PubMed ID: 33722896
[TBL] [Abstract][Full Text] [Related]
18. Deep Learning Using CT Images to Grade Clear Cell Renal Cell Carcinoma: Development and Validation of a Prediction Model.
Xu L; Yang C; Zhang F; Cheng X; Wei Y; Fan S; Liu M; He X; Deng J; Xie T; Wang X; Liu M; Song B
Cancers (Basel); 2022 May; 14(11):. PubMed ID: 35681555
[TBL] [Abstract][Full Text] [Related]
19. Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.
Coy H; Hsieh K; Wu W; Nagarajan MB; Young JR; Douek ML; Brown MS; Scalzo F; Raman SS
Abdom Radiol (NY); 2019 Jun; 44(6):2009-2020. PubMed ID: 30778739
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
