241 related articles for article (PubMed ID: 36263203)
1. Classifying primary central nervous system lymphoma from glioblastoma using deep learning and radiomics based machine learning approach - a systematic review and meta-analysis.
Guha A; Goda JS; Dasgupta A; Mahajan A; Halder S; Gawde J; Talole S
Front Oncol; 2022; 12():884173. PubMed ID: 36263203
[TBL] [Abstract][Full Text] [Related]
2. Machine learning applications for the differentiation of primary central nervous system lymphoma from glioblastoma on imaging: a systematic review and meta-analysis.
Nguyen AV; Blears EE; Ross E; Lall RR; Ortega-Barnett J
Neurosurg Focus; 2018 Nov; 45(5):E5. PubMed ID: 30453459
[TBL] [Abstract][Full Text] [Related]
3. How does deep learning/machine learning perform in comparison to radiologists in distinguishing glioblastomas (or grade IV astrocytomas) from primary CNS lymphomas?: a meta-analysis and systematic review.
Guha A; Halder S; Shinde SH; Gawde J; Munnolli S; Talole S; Goda JS
Clin Radiol; 2024 Jun; 79(6):460-472. PubMed ID: 38614870
[TBL] [Abstract][Full Text] [Related]
4. Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach.
Suh HB; Choi YS; Bae S; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Lee SK
Eur Radiol; 2018 Sep; 28(9):3832-3839. PubMed ID: 29626238
[TBL] [Abstract][Full Text] [Related]
5. Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: a comparison of diagnostic performance across different MRI sequences and machine learning techniques.
Bathla G; Priya S; Liu Y; Ward C; Le NH; Soni N; Maheshwarappa RP; Monga V; Zhang H; Sonka M
Eur Radiol; 2021 Nov; 31(11):8703-8713. PubMed ID: 33890149
[TBL] [Abstract][Full Text] [Related]
6. Comparison of Radiomics-Based Machine-Learning Classifiers in Diagnosis of Glioblastoma From Primary Central Nervous System Lymphoma.
Chen C; Zheng A; Ou X; Wang J; Ma X
Front Oncol; 2020; 10():1151. PubMed ID: 33042784
[No Abstract] [Full Text] [Related]
7. Radiomics features to distinguish glioblastoma from primary central nervous system lymphoma on multi-parametric MRI.
Kim Y; Cho HH; Kim ST; Park H; Nam D; Kong DS
Neuroradiology; 2018 Dec; 60(12):1297-1305. PubMed ID: 30232517
[TBL] [Abstract][Full Text] [Related]
8. Multiparametric-MRI-Based Radiomics Model for Differentiating Primary Central Nervous System Lymphoma From Glioblastoma: Development and Cross-Vendor Validation.
Xia W; Hu B; Li H; Geng C; Wu Q; Yang L; Yin B; Gao X; Li Y; Geng D
J Magn Reson Imaging; 2021 Jan; 53(1):242-250. PubMed ID: 32864825
[TBL] [Abstract][Full Text] [Related]
9. Primary central nervous system lymphoma and glioblastoma differentiation based on conventional magnetic resonance imaging by high-throughput SIFT features.
Chen Y; Li Z; Wu G; Yu J; Wang Y; Lv X; Ju X; Chen Z
Int J Neurosci; 2018 Jul; 128(7):608-618. PubMed ID: 29183170
[TBL] [Abstract][Full Text] [Related]
10. Machine Learning in Differentiating Gliomas from Primary CNS Lymphomas: A Systematic Review, Reporting Quality, and Risk of Bias Assessment.
Cassinelli Petersen GI; Shatalov J; Verma T; Brim WR; Subramanian H; Brackett A; Bahar RC; Merkaj S; Zeevi T; Staib LH; Cui J; Omuro A; Bronen RA; Malhotra A; Aboian MS
AJNR Am J Neuroradiol; 2022 Apr; 43(4):526-533. PubMed ID: 35361577
[TBL] [Abstract][Full Text] [Related]
11. What is the Best Preoperative Quantitative Indicator to Differentiate Primary Central Nervous System Lymphoma from Glioblastoma?
Inoue A; Matsumoto S; Ohnishi T; Miyazaki Y; Kinnami S; Kanno K; Honda T; Kurata M; Taniwaki M; Kusakabe K; Suehiro S; Yamashita D; Shigekawa S; Watanabe H; Kitazawa R; Kunieda T
World Neurosurg; 2023 Apr; 172():e517-e523. PubMed ID: 36690204
[TBL] [Abstract][Full Text] [Related]
12. Deep Learning for Automatic Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioblastoma: Multi-Parametric Magnetic Resonance Imaging Based Convolutional Neural Network Model.
Xia W; Hu B; Li H; Shi W; Tang Y; Yu Y; Geng C; Wu Q; Yang L; Yu Z; Geng D; Li Y
J Magn Reson Imaging; 2021 Sep; 54(3):880-887. PubMed ID: 33694250
[TBL] [Abstract][Full Text] [Related]
13. Classification of glioblastoma versus primary central nervous system lymphoma using convolutional neural networks.
McAvoy M; Prieto PC; Kaczmarzyk JR; Fernández IS; McNulty J; Smith T; Yu KH; Gormley WB; Arnaout O
Sci Rep; 2021 Jul; 11(1):15219. PubMed ID: 34312463
[TBL] [Abstract][Full Text] [Related]
14. Primary central nervous system lymphoma and atypical glioblastoma: differentiation using the initial area under the curve derived from dynamic contrast-enhanced MR and the apparent diffusion coefficient.
Choi YS; Lee HJ; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Lee SK
Eur Radiol; 2017 Apr; 27(4):1344-1351. PubMed ID: 27436023
[TBL] [Abstract][Full Text] [Related]
15. Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma.
She Z; Marzullo A; Destito M; Spadea MF; Leone R; Anzalone N; Steffanoni S; Erbella F; Ferreri AJM; Ferrigno G; Calimeri T; De Momi E
Int J Comput Assist Radiol Surg; 2023 Oct; 18(10):1849-1856. PubMed ID: 37083973
[TBL] [Abstract][Full Text] [Related]
16. The future of Cochrane Neonatal.
Soll RF; Ovelman C; McGuire W
Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
[TBL] [Abstract][Full Text] [Related]
17. MR imaging based fractal analysis for differentiating primary CNS lymphoma and glioblastoma.
Liu S; Fan X; Zhang C; Wang Z; Li S; Wang Y; Qiu X; Jiang T
Eur Radiol; 2019 Mar; 29(3):1348-1354. PubMed ID: 30167811
[TBL] [Abstract][Full Text] [Related]
18. MRI as a diagnostic biomarker for differentiating primary central nervous system lymphoma from glioblastoma: A systematic review and meta-analysis.
Suh CH; Kim HS; Jung SC; Park JE; Choi CG; Kim SJ
J Magn Reson Imaging; 2019 Aug; 50(2):560-572. PubMed ID: 30637843
[TBL] [Abstract][Full Text] [Related]
19. Differentiation between primary CNS lymphoma and glioblastoma: qualitative and quantitative analysis using arterial spin labeling MR imaging.
You SH; Yun TJ; Choi HJ; Yoo RE; Kang KM; Choi SH; Kim JH; Sohn CH
Eur Radiol; 2018 Sep; 28(9):3801-3810. PubMed ID: 29619520
[TBL] [Abstract][Full Text] [Related]
20. Machine learning based on multi-parametric magnetic resonance imaging to differentiate glioblastoma multiforme from primary cerebral nervous system lymphoma.
Nakagawa M; Nakaura T; Namimoto T; Kitajima M; Uetani H; Tateishi M; Oda S; Utsunomiya D; Makino K; Nakamura H; Mukasa A; Hirai T; Yamashita Y
Eur J Radiol; 2018 Nov; 108():147-154. PubMed ID: 30396648
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]