919 related articles for article (PubMed ID: 33757198)
1. 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]
2. Deep Convolutional Radiomic Features on Diffusion Tensor Images for Classification of Glioma Grades.
Zhang Z; Xiao J; Wu S; Lv F; Gong J; Jiang L; Yu R; Luo T
J Digit Imaging; 2020 Aug; 33(4):826-837. PubMed ID: 32040669
[TBL] [Abstract][Full Text] [Related]
3. Automated glioma grading on conventional MRI images using deep convolutional neural networks.
Zhuge Y; Ning H; Mathen P; Cheng JY; Krauze AV; Camphausen K; Miller RW
Med Phys; 2020 Jul; 47(7):3044-3053. PubMed ID: 32277478
[TBL] [Abstract][Full Text] [Related]
4. Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning.
Yang Y; Yan LF; Zhang X; Han Y; Nan HY; Hu YC; Hu B; Yan SL; Zhang J; Cheng DL; Ge XW; Cui GB; Zhao D; Wang W
Front Neurosci; 2018; 12():804. PubMed ID: 30498429
[No Abstract] [Full Text] [Related]
5. The diagnostic accuracy of detecting malignant transformation of low-grade glioma using O-(2-[18F]fluoroethyl)-l-tyrosine positron emission tomography: a retrospective study.
Bashir A; Brennum J; Broholm H; Law I
J Neurosurg; 2018 Apr; 130(2):451-464. PubMed ID: 29624154
[TBL] [Abstract][Full Text] [Related]
6. Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification.
Mzoughi H; Njeh I; Wali A; Slima MB; BenHamida A; Mhiri C; Mahfoudhe KB
J Digit Imaging; 2020 Aug; 33(4):903-915. PubMed ID: 32440926
[TBL] [Abstract][Full Text] [Related]
7. An Efficient Multi-Scale Convolutional Neural Network Based Multi-Class Brain MRI Classification for SaMD.
Yazdan SA; Ahmad R; Iqbal N; Rizwan A; Khan AN; Kim DH
Tomography; 2022 Jul; 8(4):1905-1927. PubMed ID: 35894026
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Diagnostic accuracy of proton magnetic resonance spectroscopy and perfusion-weighted imaging in brain gliomas follow-up: a single institutional experience.
Anselmi M; Catalucci A; Felli V; Vellucci V; Di Sibio A; Gravina GL; Di Staso M; Di Cesare E; Masciocchi C
Neuroradiol J; 2017 Jun; 30(3):240-252. PubMed ID: 28627984
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Tumor Diagnosis against Other Brain Diseases Using T2 MRI Brain Images and CNN Binary Classifier and DWT.
Papadomanolakis TN; Sergaki ES; Polydorou AA; Krasoudakis AG; Makris-Tsalikis GN; Polydorou AA; Afentakis NM; Athanasiou SA; Vardiambasis IO; Zervakis ME
Brain Sci; 2023 Feb; 13(2):. PubMed ID: 36831891
[TBL] [Abstract][Full Text] [Related]
13. MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques.
Saeedi S; Rezayi S; Keshavarz H; R Niakan Kalhori S
BMC Med Inform Decis Mak; 2023 Jan; 23(1):16. PubMed ID: 36691030
[TBL] [Abstract][Full Text] [Related]
14. The diagnostic performance of magnetic resonance spectroscopy in differentiating high-from low-grade gliomas: A systematic review and meta-analysis.
Wang Q; Zhang H; Zhang J; Wu C; Zhu W; Li F; Chen X; Xu B
Eur Radiol; 2016 Aug; 26(8):2670-84. PubMed ID: 26471274
[TBL] [Abstract][Full Text] [Related]
15. Prediction of IDH genotype in gliomas with dynamic susceptibility contrast perfusion MR imaging using an explainable recurrent neural network.
Choi KS; Choi SH; Jeong B
Neuro Oncol; 2019 Sep; 21(9):1197-1209. PubMed ID: 31127834
[TBL] [Abstract][Full Text] [Related]
16. A Novel Deep Learning Algorithm for the Automatic Detection of High-Grade Gliomas on T2-Weighted Magnetic Resonance Images: A Preliminary Machine Learning Study.
Atici MA; Sagiroglu S; Celtikci P; Ucar M; Borcek AO; Emmez H; Celtikci E
Turk Neurosurg; 2020; 30(2):199-205. PubMed ID: 31608975
[TBL] [Abstract][Full Text] [Related]
17. Grading diffuse gliomas without intense contrast enhancement by amide proton transfer MR imaging: comparisons with diffusion- and perfusion-weighted imaging.
Togao O; Hiwatashi A; Yamashita K; Kikuchi K; Keupp J; Yoshimoto K; Kuga D; Yoneyama M; Suzuki SO; Iwaki T; Takahashi M; Iihara K; Honda H
Eur Radiol; 2017 Feb; 27(2):578-588. PubMed ID: 27003139
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Deep Radiogenomics of Lower-Grade Gliomas: Convolutional Neural Networks Predict Tumor Genomic Subtypes Using MR Images.
Buda M; AlBadawy EA; Saha A; Mazurowski MA
Radiol Artif Intell; 2020 Jan; 2(1):e180050. PubMed ID: 33937809
[TBL] [Abstract][Full Text] [Related]
20. A multitask classification framework based on vision transformer for predicting molecular expressions of glioma.
Xu Q; Xu QQ; Shi N; Dong LN; Zhu H; Xu K
Eur J Radiol; 2022 Dec; 157():110560. PubMed ID: 36327857
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
