150 related articles for article (PubMed ID: 30643047)
1. [An artificial neural network model for glioma grading using image information].
Mao Y; Liao W; Cao D; Zhao L; Wu X; Kong L; Zhou G; Zhao Y; Wang D
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2018 Dec; 43(12):1315-1322. PubMed ID: 30643047
[TBL] [Abstract][Full Text] [Related]
2. Cerebral Glioma Grading Using Bayesian Network with Features Extracted from Multiple Modalities of Magnetic Resonance Imaging.
Hu J; Wu W; Zhu B; Wang H; Liu R; Zhang X; Li M; Yang Y; Yan J; Niu F; Tian C; Wang K; Yu H; Chen W; Wan S; Sun Y; Zhang B
PLoS One; 2016; 11(4):e0153369. PubMed ID: 27077923
[TBL] [Abstract][Full Text] [Related]
3. Glioma Tumor Grade Identification Using Artificial Intelligent Techniques.
Ahammed Muneer K V ; Rajendran VR; K PJ
J Med Syst; 2019 Mar; 43(5):113. PubMed ID: 30900029
[TBL] [Abstract][Full Text] [Related]
4. Glioma grading using a machine-learning framework based on optimized features obtained from T
Sengupta A; Ramaniharan AK; Gupta RK; Agarwal S; Singh A
J Magn Reson Imaging; 2019 Oct; 50(4):1295-1306. PubMed ID: 30895704
[TBL] [Abstract][Full Text] [Related]
5. Optimizing Texture Retrieving Model for Multimodal MR Image-Based Support Vector Machine for Classifying Glioma.
Yang Y; Yan LF; Zhang X; Nan HY; Hu YC; Han Y; Zhang J; Liu ZC; Sun YZ; Tian Q; Yu Y; Sun Q; Wang SY; Zhang X; Wang W; Cui GB
J Magn Reson Imaging; 2019 May; 49(5):1263-1274. PubMed ID: 30623514
[TBL] [Abstract][Full Text] [Related]
6. Dynamic contrast-enhanced and dynamic susceptibility contrast perfusion MR imaging for glioma grading: Preliminary comparison of vessel compartment and permeability parameters using hotspot and histogram analysis.
Santarosa C; Castellano A; Conte GM; Cadioli M; Iadanza A; Terreni MR; Franzin A; Bello L; Caulo M; Falini A; Anzalone N
Eur J Radiol; 2016 Jun; 85(6):1147-56. PubMed ID: 27161065
[TBL] [Abstract][Full Text] [Related]
7. Histogram analysis of T2*-based pharmacokinetic imaging in cerebral glioma grading.
Liu HS; Chiang SW; Chung HW; Tsai PH; Hsu FT; Cho NY; Wang CY; Chou MC; Chen CY
Comput Methods Programs Biomed; 2018 Mar; 155():19-27. PubMed ID: 29512499
[TBL] [Abstract][Full Text] [Related]
8. [High-throughput texture analysis in the distinction of single metastatic brain tumors from high-grade gliomas].
Yin HL; Li DB; Jiang Y; Li SH; Chen Y; Lin GW
Zhonghua Zhong Liu Za Zhi; 2018 Nov; 40(11):841-846. PubMed ID: 30481936
[No Abstract] [Full Text] [Related]
9. Quantitative glioma grading using transformed gray-scale invariant textures of MRI.
Li-Chun Hsieh K; Chen CY; Lo CM
Comput Biol Med; 2017 Apr; 83():102-108. PubMed ID: 28254615
[TBL] [Abstract][Full Text] [Related]
10. An automatic glioma grading method based on multi-feature extraction and fusion.
Zhan T; Feng P; Hong X; Lu Z; Xiao L; Zhang Y
Technol Health Care; 2017 Jul; 25(S1):377-385. PubMed ID: 28582926
[TBL] [Abstract][Full Text] [Related]
11. Measurements of diagnostic examination performance using quantitative apparent diffusion coefficient and proton MR spectroscopic imaging in the preoperative evaluation of tumor grade in cerebral gliomas.
Server A; Kulle B; Gadmar ØB; Josefsen R; Kumar T; Nakstad PH
Eur J Radiol; 2011 Nov; 80(2):462-70. PubMed ID: 20708868
[TBL] [Abstract][Full Text] [Related]
12. Diagnostic performance of apparent diffusion coefficient parameters for glioma grading.
Wang Q; Zhang J; Xu X; Chen X; Xu B
J Neurooncol; 2018 Aug; 139(1):61-68. PubMed ID: 29574566
[TBL] [Abstract][Full Text] [Related]
13. Visualization of heterogeneity and regional grading of gliomas by multiple features using magnetic resonance-based clustered images.
Inano R; Oishi N; Kunieda T; Arakawa Y; Kikuchi T; Fukuyama H; Miyamoto S
Sci Rep; 2016 Jul; 6():30344. PubMed ID: 27456199
[TBL] [Abstract][Full Text] [Related]
14. Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.
Zhang X; Yan LF; Hu YC; Li G; Yang Y; Han Y; Sun YZ; Liu ZC; Tian Q; Han ZY; Liu LD; Hu BQ; Qiu ZY; Wang W; Cui GB
Oncotarget; 2017 Jul; 8(29):47816-47830. PubMed ID: 28599282
[TBL] [Abstract][Full Text] [Related]
15. Non-Gaussian diffusion MR imaging of glioma: comparisons of multiple diffusion parameters and correlation with histologic grade and MIB-1 (Ki-67 labeling) index.
Yan R; Haopeng P; Xiaoyuan F; Jinsong W; Jiawen Z; Chengjun Y; Tianming Q; Ji X; Mao S; Yueyue D; Yong Z; Jianfeng L; Zhenwei Y
Neuroradiology; 2016 Feb; 58(2):121-32. PubMed ID: 26494463
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Diagnostic accuracy of MRI texture analysis for grading gliomas.
Ditmer A; Zhang B; Shujaat T; Pavlina A; Luibrand N; Gaskill-Shipley M; Vagal A
J Neurooncol; 2018 Dec; 140(3):583-589. PubMed ID: 30145731
[TBL] [Abstract][Full Text] [Related]
18. MR Imaging-derived Oxygen Metabolism and Neovascularization Characterization for Grading and IDH Gene Mutation Detection of Gliomas.
Stadlbauer A; Zimmermann M; Kitzwögerer M; Oberndorfer S; Rössler K; Dörfler A; Buchfelder M; Heinz G
Radiology; 2017 Jun; 283(3):799-809. PubMed ID: 27982759
[TBL] [Abstract][Full Text] [Related]
19. An Explainable MRI-Radiomic Quantum Neural Network to Differentiate Between Large Brain Metastases and High-Grade Glioma Using Quantum Annealing for Feature Selection.
Felefly T; Roukoz C; Fares G; Achkar S; Yazbeck S; Meyer P; Kordahi M; Azoury F; Nasr DN; Nasr E; Noël G; Francis Z
J Digit Imaging; 2023 Dec; 36(6):2335-2346. PubMed ID: 37507581
[TBL] [Abstract][Full Text] [Related]
20. A logistic regression model for prediction of glioma grading based on radiomics.
Sun X; Liao W; Cao D; Zhao Y; Zhou G; Wang D; Mao Y
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2021 Apr; 46(4):385-392. PubMed ID: 33967085
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]