194 related articles for article (PubMed ID: 32201640)
1. Prognostic analysis of histopathological images using pre-trained convolutional neural networks: application to hepatocellular carcinoma.
Lu L; Daigle BJ
PeerJ; 2020; 8():e8668. PubMed ID: 32201640
[TBL] [Abstract][Full Text] [Related]
2. Deep Learning Based Analysis of Histopathological Images of Breast Cancer.
Xie J; Liu R; Luttrell J; Zhang C
Front Genet; 2019; 10():80. PubMed ID: 30838023
[TBL] [Abstract][Full Text] [Related]
3. DLNLF-net: Denoised local and non-local deep features fusion network for malignancy characterization of hepatocellular carcinoma.
Huang H; Xie Y; Wang G; Zhang L; Zhou W
Comput Methods Programs Biomed; 2022 Dec; 227():107201. PubMed ID: 36335751
[TBL] [Abstract][Full Text] [Related]
4. Grading of hepatocellular carcinoma based on diffusion weighted images with multiple b-values using convolutional neural networks.
Zhou W; Wang G; Xie G; Zhang L
Med Phys; 2019 Sep; 46(9):3951-3960. PubMed ID: 31169907
[TBL] [Abstract][Full Text] [Related]
5. Pre-trained deep learning models for brain MRI image classification.
Krishnapriya S; Karuna Y
Front Hum Neurosci; 2023; 17():1150120. PubMed ID: 37151901
[TBL] [Abstract][Full Text] [Related]
6. Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI.
Yang X; Liu C; Wang Z; Yang J; Min HL; Wang L; Cheng KT
Med Image Anal; 2017 Dec; 42():212-227. PubMed ID: 28850876
[TBL] [Abstract][Full Text] [Related]
7. Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images.
Albashish D
PeerJ Comput Sci; 2022; 8():e1031. PubMed ID: 35875641
[TBL] [Abstract][Full Text] [Related]
8. Two-stage Cox-nnet: biologically interpretable neural-network model for prognosis prediction and its application in liver cancer survival using histopathology and transcriptomic data.
Zhan Z; Jing Z; He B; Hosseini N; Westerhoff M; Choi EY; Garmire LX
NAR Genom Bioinform; 2021 Mar; 3(1):lqab015. PubMed ID: 33778491
[TBL] [Abstract][Full Text] [Related]
9. Development of convolutional neural networks for recognition of tenogenic differentiation based on cellular morphology.
Dursun G; Tandale SB; Gulakala R; Eschweiler J; Tohidnezhad M; Markert B; Stoffel M
Comput Methods Programs Biomed; 2021 Sep; 208():106279. PubMed ID: 34343743
[TBL] [Abstract][Full Text] [Related]
10. Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification.
Zhang Y; Allem JP; Unger JB; Boley Cruz T
J Med Internet Res; 2018 Nov; 20(11):e10513. PubMed ID: 30452385
[TBL] [Abstract][Full Text] [Related]
11. Study of the Application of Deep Convolutional Neural Networks (CNNs) in Processing Sensor Data and Biomedical Images.
Hu W; Zhang Y; Li L
Sensors (Basel); 2019 Aug; 19(16):. PubMed ID: 31426516
[TBL] [Abstract][Full Text] [Related]
12. Classification and Prognosis Prediction from Histopathological Images of Hepatocellular Carcinoma by a Fully Automated Pipeline Based on Machine Learning.
Liao H; Xiong T; Peng J; Xu L; Liao M; Zhang Z; Wu Z; Yuan K; Zeng Y
Ann Surg Oncol; 2020 Jul; 27(7):2359-2369. PubMed ID: 31916093
[TBL] [Abstract][Full Text] [Related]
13. Convolutional neural networks for multi-class brain disease detection using MRI images.
Talo M; Yildirim O; Baloglu UB; Aydin G; Acharya UR
Comput Med Imaging Graph; 2019 Dec; 78():101673. PubMed ID: 31635910
[TBL] [Abstract][Full Text] [Related]
14. Neuron-glial antigen 2 overexpression in hepatocellular carcinoma predicts poor prognosis.
Lu LL; Sun J; Lai JJ; Jiang Y; Bai LH; Zhang LD
World J Gastroenterol; 2015 Jun; 21(21):6649-59. PubMed ID: 26074703
[TBL] [Abstract][Full Text] [Related]
15. Statistical Analysis of Survival Models Using Feature Quantification on Prostate Cancer Histopathological Images.
Ren J; Singer EA; Sadimin E; Foran DJ; Qi X
J Pathol Inform; 2019; 10():30. PubMed ID: 31620309
[TBL] [Abstract][Full Text] [Related]
16. BCHisto-Net: Breast histopathological image classification by global and local feature aggregation.
R R; Prasad K; Udupa CBK
Artif Intell Med; 2021 Nov; 121():102191. PubMed ID: 34763806
[TBL] [Abstract][Full Text] [Related]
17. AF-SENet: Classification of Cancer in Cervical Tissue Pathological Images Based on Fusing Deep Convolution Features.
Huang P; Tan X; Chen C; Lv X; Li Y
Sensors (Basel); 2020 Dec; 21(1):. PubMed ID: 33375508
[TBL] [Abstract][Full Text] [Related]
18. Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learning.
Chen M; Zhang B; Topatana W; Cao J; Zhu H; Juengpanich S; Mao Q; Yu H; Cai X
NPJ Precis Oncol; 2020; 4():14. PubMed ID: 32550270
[TBL] [Abstract][Full Text] [Related]
19. Detection of pancreatic cancer by convolutional-neural-network-assisted spontaneous Raman spectroscopy with critical feature visualization.
Li Z; Li Z; Chen Q; Ramos A; Zhang J; Boudreaux JP; Thiagarajan R; Bren-Mattison Y; Dunham ME; McWhorter AJ; Li X; Feng JM; Li Y; Yao S; Xu J
Neural Netw; 2021 Dec; 144():455-464. PubMed ID: 34583101
[TBL] [Abstract][Full Text] [Related]
20. A novel prognostic biomarker SPC24 up-regulated in hepatocellular carcinoma.
Zhu P; Jin J; Liao Y; Li J; Yu XZ; Liao W; He S
Oncotarget; 2015 Dec; 6(38):41383-97. PubMed ID: 26515591
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
