521 related articles for article (PubMed ID: 35270913)
1. Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age.
Wahlang I; Maji AK; Saha G; Chakrabarti P; Jasinski M; Leonowicz Z; Jasinska E
Sensors (Basel); 2022 Feb; 22(5):. PubMed ID: 35270913
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning.
Dawud AM; Yurtkan K; Oztoprak H
Comput Intell Neurosci; 2019; 2019():4629859. PubMed ID: 31281335
[TBL] [Abstract][Full Text] [Related]
4. Multi-Method Diagnosis of Blood Microscopic Sample for Early Detection of Acute Lymphoblastic Leukemia Based on Deep Learning and Hybrid Techniques.
Abunadi I; Senan EM
Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214531
[TBL] [Abstract][Full Text] [Related]
5. fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations.
Vu H; Kim HC; Jung M; Lee JH
Neuroimage; 2020 Dec; 223():117328. PubMed ID: 32896633
[TBL] [Abstract][Full Text] [Related]
6. Three dimensional convolutional neural network-based classification of conduct disorder with structural MRI.
Zhang J; Li X; Li Y; Wang M; Huang B; Yao S; Shen L
Brain Imaging Behav; 2020 Dec; 14(6):2333-2340. PubMed ID: 31538277
[TBL] [Abstract][Full Text] [Related]
7. Automated MRI-Based Deep Learning Model for Detection of Alzheimer's Disease Process.
Feng W; Halm-Lutterodt NV; Tang H; Mecum A; Mesregah MK; Ma Y; Li H; Zhang F; Wu Z; Yao E; Guo X
Int J Neural Syst; 2020 Jun; 30(6):2050032. PubMed ID: 32498641
[TBL] [Abstract][Full Text] [Related]
8. An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm.
Wu W; Li D; Du J; Gao X; Gu W; Zhao F; Feng X; Yan H
Comput Math Methods Med; 2020; 2020():6789306. PubMed ID: 32733596
[TBL] [Abstract][Full Text] [Related]
9. Early Diagnosis of Brain Tumour MRI Images Using Hybrid Techniques between Deep and Machine Learning.
Senan EM; Jadhav ME; Rassem TH; Aljaloud AS; Mohammed BA; Al-Mekhlafi ZG
Comput Math Methods Med; 2022; 2022():8330833. PubMed ID: 35633922
[TBL] [Abstract][Full Text] [Related]
10. Self-attention-based generative adversarial network optimized with color harmony algorithm for brain tumor classification.
S SP; A S; T K; S D
Electromagn Biol Med; 2024 Apr; 43(1-2):31-45. PubMed ID: 38369844
[TBL] [Abstract][Full Text] [Related]
11. A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI.
Haq EU; Jianjun H; Huarong X; Li K; Weng L
Comput Math Methods Med; 2022; 2022():6446680. PubMed ID: 36035291
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Deep convolutional neural network based hyperspectral brain tissue classification.
Poonkuzhali P; Helen Prabha K
J Xray Sci Technol; 2023; 31(4):777-796. PubMed ID: 37182861
[TBL] [Abstract][Full Text] [Related]
14. A Simplified Framework for the Detection of Intracranial Hemorrhage in CT Brain Images Using Deep Learning.
Kumaravel P; Mohan S; Arivudaiyanambi J; Shajil N; Venkatakrishnan HN
Curr Med Imaging; 2021; 17(10):1226-1236. PubMed ID: 33602101
[TBL] [Abstract][Full Text] [Related]
15. A Novel and Effective Brain Tumor Classification Model Using Deep Feature Fusion and Famous Machine Learning Classifiers.
Kibriya H; Amin R; Alshehri AH; Masood M; Alshamrani SS; Alshehri A
Comput Intell Neurosci; 2022; 2022():7897669. PubMed ID: 35378808
[TBL] [Abstract][Full Text] [Related]
16. Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls.
Hu M; Sim K; Zhou JH; Jiang X; Guan C
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1742-1745. PubMed ID: 33018334
[TBL] [Abstract][Full Text] [Related]
17. Classification of schizophrenia and normal controls using 3D convolutional neural network and outcome visualization.
Oh K; Kim W; Shen G; Piao Y; Kang NI; Oh IS; Chung YC
Schizophr Res; 2019 Oct; 212():186-195. PubMed ID: 31395487
[TBL] [Abstract][Full Text] [Related]
18. A new approach for brain tumor diagnosis system: Single image super resolution based maximum fuzzy entropy segmentation and convolutional neural network.
Sert E; Özyurt F; Doğantekin A
Med Hypotheses; 2019 Dec; 133():109413. PubMed ID: 31586812
[TBL] [Abstract][Full Text] [Related]
19. MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers.
Kang J; Ullah Z; Gwak J
Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33810176
[TBL] [Abstract][Full Text] [Related]
20. Brain tumor classification in MRI image using convolutional neural network.
Khan HA; Jue W; Mushtaq M; Mushtaq MU
Math Biosci Eng; 2020 Sep; 17(5):6203-6216. PubMed ID: 33120595
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
