281 related articles for article (PubMed ID: 34277415)
1. Deep Neural Network Analysis of Pathology Images With Integrated Molecular Data for Enhanced Glioma Classification and Grading.
Pei L; Jones KA; Shboul ZA; Chen JY; Iftekharuddin KM
Front Oncol; 2021; 11():668694. PubMed ID: 34277415
[TBL] [Abstract][Full Text] [Related]
2. A multi-class brain tumor grading system based on histopathological images using a hybrid YOLO and RESNET networks.
Elazab N; Gab-Allah WA; Elmogy M
Sci Rep; 2024 Feb; 14(1):4584. PubMed ID: 38403597
[TBL] [Abstract][Full Text] [Related]
3. DNA methylation signatures for 2016 WHO classification subtypes of diffuse gliomas.
Paul Y; Mondal B; Patil V; Somasundaram K
Clin Epigenetics; 2017; 9():32. PubMed ID: 28392842
[TBL] [Abstract][Full Text] [Related]
4. Automated Grading of Gliomas using Deep Learning in Digital Pathology Images: A modular approach with ensemble of convolutional neural networks.
Ertosun MG; Rubin DL
AMIA Annu Symp Proc; 2015; 2015():1899-908. PubMed ID: 26958289
[TBL] [Abstract][Full Text] [Related]
5. A comparative study for glioma classification using deep convolutional neural networks.
Özcan H; Emiroğlu BG; Sabuncuoğlu H; Özdoğan S; Soyer A; Saygı T
Math Biosci Eng; 2021 Jan; 18(2):1550-1572. PubMed ID: 33757198
[TBL] [Abstract][Full Text] [Related]
6. Radiomics strategy for glioma grading using texture features from multiparametric MRI.
Tian Q; Yan LF; Zhang X; Zhang X; Hu YC; Han Y; Liu ZC; Nan HY; Sun Q; Sun YZ; Yang Y; Yu Y; Zhang J; Hu B; Xiao G; Chen P; Tian S; Xu J; Wang W; Cui GB
J Magn Reson Imaging; 2018 Dec; 48(6):1518-1528. PubMed ID: 29573085
[TBL] [Abstract][Full Text] [Related]
7. Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors.
Park YW; Choi YS; Ahn SS; Chang JH; Kim SH; Lee SK
Korean J Radiol; 2019 Sep; 20(9):1381-1389. PubMed ID: 31464116
[TBL] [Abstract][Full Text] [Related]
8. Automated discrimination of lower and higher grade gliomas based on histopathological image analysis.
Mousavi HS; Monga V; Rao G; Rao AU
J Pathol Inform; 2015; 6():15. PubMed ID: 25838967
[TBL] [Abstract][Full Text] [Related]
9. Deep Learning Classifies Low- and High-Grade Glioma Patients with High Accuracy, Sensitivity, and Specificity Based on Their Brain White Matter Networks Derived from Diffusion Tensor Imaging.
Vidyadharan S; Prabhakar Rao BVVSN; Perumal Y; Chandrasekharan K; Rajagopalan V
Diagnostics (Basel); 2022 Dec; 12(12):. PubMed ID: 36553224
[TBL] [Abstract][Full Text] [Related]
10. Developing and validating a deep learning and radiomic model for glioma grading using multiplanar reconstructed magnetic resonance contrast-enhanced T1-weighted imaging: a robust, multi-institutional study.
Ding J; Zhao R; Qiu Q; Chen J; Duan J; Cao X; Yin Y
Quant Imaging Med Surg; 2022 Feb; 12(2):1517-1528. PubMed ID: 35111644
[TBL] [Abstract][Full Text] [Related]
11. Annotation-free glioma grading from pathological images using ensemble deep learning.
Su F; Cheng Y; Chang L; Wang L; Huang G; Yuan P; Zhang C; Ma Y
Heliyon; 2023 Mar; 9(3):e14654. PubMed ID: 37009333
[TBL] [Abstract][Full Text] [Related]
12. A novel federated deep learning scheme for glioma and its subtype classification.
Ali MB; Gu IY; Berger MS; Jakola AS
Front Neurosci; 2023; 17():1181703. PubMed ID: 37287799
[TBL] [Abstract][Full Text] [Related]
13. An automated approach for predicting glioma grade and survival of LGG patients using CNN and radiomics.
Xu C; Peng Y; Zhu W; Chen Z; Li J; Tan W; Zhang Z; Chen X
Front Oncol; 2022; 12():969907. PubMed ID: 36033433
[TBL] [Abstract][Full Text] [Related]
14. Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images.
Naser MA; Deen MJ
Comput Biol Med; 2020 Jun; 121():103758. PubMed ID: 32568668
[TBL] [Abstract][Full Text] [Related]
15. Classification of Diffuse Glioma Subtype from Clinical-Grade Pathological Images Using Deep Transfer Learning.
Im S; Hyeon J; Rha E; Lee J; Choi HJ; Jung Y; Kim TJ
Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34067934
[TBL] [Abstract][Full Text] [Related]
16. Brain MR Image Classification for Glioma Tumor detection using Deep Convolutional Neural Network Features.
Latif G; Iskandar DNFA; Alghazo J; Butt MM
Curr Med Imaging; 2021; 17(1):56-63. PubMed ID: 32160848
[TBL] [Abstract][Full Text] [Related]
17. An independently validated survival nomogram for lower-grade glioma.
Gittleman H; Sloan AE; Barnholtz-Sloan JS
Neuro Oncol; 2020 May; 22(5):665-674. PubMed ID: 31621885
[TBL] [Abstract][Full Text] [Related]
18. Multidimensional scaling of diffuse gliomas: application to the 2016 World Health Organization classification system with prognostically relevant molecular subtype discovery.
Cimino PJ; Zager M; McFerrin L; Wirsching HG; Bolouri H; Hentschel B; von Deimling A; Jones D; Reifenberger G; Weller M; Holland EC
Acta Neuropathol Commun; 2017 May; 5(1):39. PubMed ID: 28532485
[TBL] [Abstract][Full Text] [Related]
19. A four-protein expression prognostic signature predicts clinical outcome of lower-grade glioma.
Patil V; Mahalingam K
Gene; 2018 Dec; 679():57-64. PubMed ID: 30077762
[TBL] [Abstract][Full Text] [Related]
20. Molecular subtyping reveals immune alterations in IDH wild-type lower-grade diffuse glioma.
Wu F; Li GZ; Liu HJ; Zhao Z; Chai RC; Liu YQ; Jiang HY; Zhai Y; Feng YM; Li RP; Zhang W
J Pathol; 2020 Jul; 251(3):272-283. PubMed ID: 32418210
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
