201 related articles for article (PubMed ID: 35764660)
1. HunCRC: annotated pathological slides to enhance deep learning applications in colorectal cancer screening.
Pataki BÁ; Olar A; Ribli D; Pesti A; Kontsek E; Gyöngyösi B; Bilecz Á; Kovács T; Kovács KA; Kramer Z; Kiss A; Szócska M; Pollner P; Csabai I
Sci Data; 2022 Jun; 9(1):370. PubMed ID: 35764660
[TBL] [Abstract][Full Text] [Related]
2. Automated curation of large-scale cancer histopathology image datasets using deep learning.
Hilgers L; Ghaffari Laleh N; West NP; Westwood A; Hewitt KJ; Quirke P; Grabsch HI; Carrero ZI; Matthaei E; Loeffler CML; Brinker TJ; Yuan T; Brenner H; Brobeil A; Hoffmeister M; Kather JN
Histopathology; 2024 Jun; 84(7):1139-1153. PubMed ID: 38409878
[TBL] [Abstract][Full Text] [Related]
3. 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]
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. Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.
Marini N; Otálora S; Müller H; Atzori M
Med Image Anal; 2021 Oct; 73():102165. PubMed ID: 34303169
[TBL] [Abstract][Full Text] [Related]
6. Automatic deep learning-based colorectal adenoma detection system and its similarities with pathologists.
Song Z; Yu C; Zou S; Wang W; Huang Y; Ding X; Liu J; Shao L; Yuan J; Gou X; Jin W; Wang Z; Chen X; Chen H; Liu C; Xu G; Sun Z; Ku C; Zhang Y; Dong X; Wang S; Xu W; Lv N; Shi H
BMJ Open; 2020 Sep; 10(9):e036423. PubMed ID: 32912980
[TBL] [Abstract][Full Text] [Related]
7. [Identifying Molecular Subtypes of Whole-Slide Image in Colorectal Cancer via Deep Learning].
Liao J; Feng XB; Wang YH; Guo LC
Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Jul; 52(4):686-692. PubMed ID: 34323050
[TBL] [Abstract][Full Text] [Related]
8. A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer.
Ho C; Zhao Z; Chen XF; Sauer J; Saraf SA; Jialdasani R; Taghipour K; Sathe A; Khor LY; Lim KH; Leow WQ
Sci Rep; 2022 Feb; 12(1):2222. PubMed ID: 35140318
[TBL] [Abstract][Full Text] [Related]
9. Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning.
Song Z; Zou S; Zhou W; Huang Y; Shao L; Yuan J; Gou X; Jin W; Wang Z; Chen X; Ding X; Liu J; Yu C; Ku C; Liu C; Sun Z; Xu G; Wang Y; Zhang X; Wang D; Wang S; Xu W; Davis RC; Shi H
Nat Commun; 2020 Aug; 11(1):4294. PubMed ID: 32855423
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Detection of Colorectal Adenocarcinoma and Grading Dysplasia on Histopathologic Slides Using Deep Learning.
Kim J; Tomita N; Suriawinata AA; Hassanpour S
Am J Pathol; 2023 Mar; 193(3):332-340. PubMed ID: 36563748
[TBL] [Abstract][Full Text] [Related]
12. Sampling Based Tumor Recognition in Whole-Slide Histology Image With Deep Learning Approaches.
Shen Y; Ke J
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(4):2431-2441. PubMed ID: 33630739
[TBL] [Abstract][Full Text] [Related]
13. Learning how to detect: A deep reinforcement learning method for whole-slide melanoma histopathology images.
Zheng T; Chen W; Li S; Quan H; Zou M; Zheng S; Zhao Y; Gao X; Cui X
Comput Med Imaging Graph; 2023 Sep; 108():102275. PubMed ID: 37567046
[TBL] [Abstract][Full Text] [Related]
14. Deep learning shows the capability of high-level computer-aided diagnosis in malignant lymphoma.
Miyoshi H; Sato K; Kabeya Y; Yonezawa S; Nakano H; Takeuchi Y; Ozawa I; Higo S; Yanagida E; Yamada K; Kohno K; Furuta T; Muta H; Takeuchi M; Sasaki Y; Yoshimura T; Matsuda K; Muto R; Moritsubo M; Inoue K; Suzuki T; Sekinaga H; Ohshima K
Lab Invest; 2020 Oct; 100(10):1300-1310. PubMed ID: 32472096
[TBL] [Abstract][Full Text] [Related]
15. DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning.
Senaras C; Niazi MKK; Lozanski G; Gurcan MN
PLoS One; 2018; 13(10):e0205387. PubMed ID: 30359393
[TBL] [Abstract][Full Text] [Related]
16. A computer-aided diagnosis system for differentiation and delineation of malignant regions on whole-slide prostate histopathology image using spatial statistics and multidimensional DenseNet.
Chen CM; Huang YS; Fang PW; Liang CW; Chang RF
Med Phys; 2020 Mar; 47(3):1021-1033. PubMed ID: 31834623
[TBL] [Abstract][Full Text] [Related]
17. A Deep Neural Network-Based Decision Support Tool for the Detection of Lymph Node Metastases in Colorectal Cancer Specimens.
Kindler C; Elfwing S; Öhrvik J; Nikberg M
Mod Pathol; 2023 Feb; 36(2):100015. PubMed ID: 36853787
[TBL] [Abstract][Full Text] [Related]
18. Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning.
Jang HJ; Lee A; Kang J; Song IH; Lee SH
World J Gastroenterol; 2020 Oct; 26(40):6207-6223. PubMed ID: 33177794
[TBL] [Abstract][Full Text] [Related]
19. Deep Learning-Based Diagnosis Method of Emergency Colorectal Pathology.
Wang C; Zhang N
J Healthc Eng; 2021; 2021():3927828. PubMed ID: 34840696
[TBL] [Abstract][Full Text] [Related]
20. A neural network for glomerulus classification based on histological images of kidney biopsy.
Cascarano GD; Debitonto FS; Lemma R; Brunetti A; Buongiorno D; De Feudis I; Guerriero A; Venere U; Matino S; Rocchetti MT; Rossini M; Pesce F; Gesualdo L; Bevilacqua V
BMC Med Inform Decis Mak; 2021 Nov; 21(Suppl 1):300. PubMed ID: 34724926
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
