232 related articles for article (PubMed ID: 31786457)
1. Brain pathology identification using computer aided diagnostic tool: A systematic review.
Gudigar A; Raghavendra U; Hegde A; Kalyani M; Ciaccio EJ; Rajendra Acharya U
Comput Methods Programs Biomed; 2020 Apr; 187():105205. PubMed ID: 31786457
[TBL] [Abstract][Full Text] [Related]
2. Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review.
Ebrahimighahnavieh MA; Luo S; Chiong R
Comput Methods Programs Biomed; 2020 Apr; 187():105242. PubMed ID: 31837630
[TBL] [Abstract][Full Text] [Related]
3. A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer's Disease Stages Using Resting-State fMRI and Residual Neural Networks.
Ramzan F; Khan MUG; Rehmat A; Iqbal S; Saba T; Rehman A; Mehmood Z
J Med Syst; 2019 Dec; 44(2):37. PubMed ID: 31853655
[TBL] [Abstract][Full Text] [Related]
4. A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis.
Elahifasaee F; Li F; Yang M
Comput Math Methods Med; 2019; 2019():1437123. PubMed ID: 32082407
[TBL] [Abstract][Full Text] [Related]
5. Alzheimer's Disease Computer-Aided Diagnosis: Histogram-Based Analysis of Regional MRI Volumes for Feature Selection and Classification.
Ruiz E; Ramírez J; Górriz JM; Casillas J;
J Alzheimers Dis; 2018; 65(3):819-842. PubMed ID: 29966190
[TBL] [Abstract][Full Text] [Related]
6. Updates on Deep Learning and Glioma: Use of Convolutional Neural Networks to Image Glioma Heterogeneity.
Chow DS; Khatri D; Chang PD; Zlochower A; Boockvar JA; Filippi CG
Neuroimaging Clin N Am; 2020 Nov; 30(4):493-503. PubMed ID: 33038999
[TBL] [Abstract][Full Text] [Related]
7. Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks.
Xie B; Lei T; Wang N; Cai H; Xian J; He M; Zhang L; Xie H
Int J Comput Assist Radiol Surg; 2020 Aug; 15(8):1303-1312. PubMed ID: 32488568
[TBL] [Abstract][Full Text] [Related]
8. A review on brain tumor diagnosis from MRI images: Practical implications, key achievements, and lessons learned.
Abd-Ellah MK; Awad AI; Khalaf AAM; Hamed HFA
Magn Reson Imaging; 2019 Sep; 61():300-318. PubMed ID: 31173851
[TBL] [Abstract][Full Text] [Related]
9. Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images.
Naceur MB; Saouli R; Akil M; Kachouri R
Comput Methods Programs Biomed; 2018 Nov; 166():39-49. PubMed ID: 30415717
[TBL] [Abstract][Full Text] [Related]
10. Computer-aided diagnosis systems for osteoporosis detection: a comprehensive survey.
Wani IM; Arora S
Med Biol Eng Comput; 2020 Sep; 58(9):1873-1917. PubMed ID: 32583141
[TBL] [Abstract][Full Text] [Related]
11. An expert system for brain tumor detection: Fuzzy C-means with super resolution and convolutional neural network with extreme learning machine.
Özyurt F; Sert E; Avcı D
Med Hypotheses; 2020 Jan; 134():109433. PubMed ID: 31634769
[TBL] [Abstract][Full Text] [Related]
12. An enhanced deep learning approach for brain cancer MRI images classification using residual networks.
Abdelaziz Ismael SA; Mohammed A; Hefny H
Artif Intell Med; 2020 Jan; 102():101779. PubMed ID: 31980109
[TBL] [Abstract][Full Text] [Related]
13. Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer's with Visual Support.
Khedher L; Illán IA; Górriz JM; Ramírez J; Brahim A; Meyer-Baese A
Int J Neural Syst; 2017 May; 27(3):1650050. PubMed ID: 27776438
[TBL] [Abstract][Full Text] [Related]
14. An Improved Brain MRI Classification Methodology Based on Statistical Features and Machine Learning Algorithms.
Fayaz M; Qureshi MS; Kussainova K; Burkanova B; Aljarbouh A; Qureshi MB
Comput Math Methods Med; 2021; 2021():8608305. PubMed ID: 34917168
[TBL] [Abstract][Full Text] [Related]
15. Robust deep learning classification of adamantinomatous craniopharyngioma from limited preoperative radiographic images.
Prince EW; Whelan R; Mirsky DM; Stence N; Staulcup S; Klimo P; Anderson RCE; Niazi TN; Grant G; Souweidane M; Johnston JM; Jackson EM; Limbrick DD; Smith A; Drapeau A; Chern JJ; Kilburn L; Ginn K; Naftel R; Dudley R; Tyler-Kabara E; Jallo G; Handler MH; Jones K; Donson AM; Foreman NK; Hankinson TC
Sci Rep; 2020 Oct; 10(1):16885. PubMed ID: 33037266
[TBL] [Abstract][Full Text] [Related]
16. Analysis of dual tree M-band wavelet transform based features for brain image classification.
Ayalapogu RR; Pabboju S; Ramisetty RR
Magn Reson Med; 2018 Dec; 80(6):2393-2401. PubMed ID: 29707806
[TBL] [Abstract][Full Text] [Related]
17. Convolutional neural networks for computer-aided detection or diagnosis in medical image analysis: An overview.
Gao J; Jiang Q; Zhou B; Chen D
Math Biosci Eng; 2019 Jul; 16(6):6536-6561. PubMed ID: 31698575
[TBL] [Abstract][Full Text] [Related]
18. BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model.
Toğaçar M; Ergen B; Cömert Z
Med Hypotheses; 2020 Jan; 134():109531. PubMed ID: 31877442
[TBL] [Abstract][Full Text] [Related]
19. Deep CNNs for glioma grading on conventional MRIs: Performance analysis, challenges, and future directions.
Saluja S; Trivedi MC; Saha A
Math Biosci Eng; 2024 Mar; 21(4):5250-5282. PubMed ID: 38872535
[TBL] [Abstract][Full Text] [Related]
20. Hahn-PCNN-CNN: an end-to-end multi-modal brain medical image fusion framework useful for clinical diagnosis.
Guo K; Li X; Hu X; Liu J; Fan T
BMC Med Imaging; 2021 Jul; 21(1):111. PubMed ID: 34261452
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
