1026 related articles for article (PubMed ID: 30486629)
1. MRI Brain Tumour Segmentation Using Hybrid Clustering and Classification by Back Propagation Algorithm.
M M; P S
Asian Pac J Cancer Prev; 2018 Nov; 19(11):3257-3263. PubMed ID: 30486629
[TBL] [Abstract][Full Text] [Related]
2. Brain tumor segmentation approach based on the extreme learning machine and significantly fast and robust fuzzy C-means clustering algorithms running on Raspberry Pi hardware.
Şişik F; Sert E
Med Hypotheses; 2020 Mar; 136():109507. PubMed ID: 31812927
[TBL] [Abstract][Full Text] [Related]
3. Brain tissue segmentation using fuzzy clustering techniques.
Sucharitha M; Geetha KP
Technol Health Care; 2015; 23(5):571-80. PubMed ID: 26410118
[TBL] [Abstract][Full Text] [Related]
4. A mathematical theory of shape and neuro-fuzzy methodology-based diagnostic analysis: a comparative study on early detection and treatment planning of brain cancer.
Kar S; Majumder DD
Int J Clin Oncol; 2017 Aug; 22(4):667-681. PubMed ID: 28321787
[TBL] [Abstract][Full Text] [Related]
5. Robust spatial fuzzy GMM based MRI segmentation and carotid artery plaque detection in ultrasound images.
Hassan M; Murtza I; Hira A; Ali S; Kifayat K
Comput Methods Programs Biomed; 2019 Jul; 175():179-192. PubMed ID: 31104706
[TBL] [Abstract][Full Text] [Related]
6. A segmentation of brain MRI images utilizing intensity and contextual information by Markov random field.
Chen M; Yan Q; Qin M
Comput Assist Surg (Abingdon); 2017 Dec; 22(sup1):200-211. PubMed ID: 29072503
[TBL] [Abstract][Full Text] [Related]
7. Brain tumour classification and abnormality detection using neuro-fuzzy technique and Otsu thresholding.
Renjith A; Manjula P; Mohan Kumar P
J Med Eng Technol; 2015; 39(8):498-507. PubMed ID: 26493726
[TBL] [Abstract][Full Text] [Related]
8. Robust kernelized local information fuzzy C-means clustering for brain magnetic resonance image segmentation.
Elazab A; AbdulAzeem YM; Wu S; Hu Q
J Xray Sci Technol; 2016 Mar; 24(3):489-507. PubMed ID: 27257884
[TBL] [Abstract][Full Text] [Related]
9. Brain Tumor Detection and Segmentation by Intensity Adjustment.
Rajan PG; Sundar C
J Med Syst; 2019 Jul; 43(8):282. PubMed ID: 31300899
[TBL] [Abstract][Full Text] [Related]
10. A Clinical Support System for Brain Tumor Classification Using Soft Computing Techniques.
Arasi PRE; Suganthi M
J Med Syst; 2019 Apr; 43(5):144. PubMed ID: 30989341
[TBL] [Abstract][Full Text] [Related]
11. Segmentation of Brain Tissues from MRI Images Using Multitask Fuzzy Clustering Algorithm.
Zhao Y; Huang Z; Che H; Xie F; Liu M; Wang M; Sun D
J Healthc Eng; 2023; 2023():4387134. PubMed ID: 36844948
[TBL] [Abstract][Full Text] [Related]
12. Brain tissue segmentation using improved kernelized rough-fuzzy C-means with spatio-contextual information from MRI.
Halder A; Talukdar NA
Magn Reson Imaging; 2019 Oct; 62():129-151. PubMed ID: 31247252
[TBL] [Abstract][Full Text] [Related]
13. Comparative Approach of MRI-Based Brain Tumor Segmentation and Classification Using Genetic Algorithm.
Bahadure NB; Ray AK; Thethi HP
J Digit Imaging; 2018 Aug; 31(4):477-489. PubMed ID: 29344753
[TBL] [Abstract][Full Text] [Related]
14. An Efficient Segmentation and Classification System in Medical Images Using Intuitionist Possibilistic Fuzzy C-Mean Clustering and Fuzzy SVM Algorithm.
Chowdhary CL; Mittal M; P K; Pattanaik PA; Marszalek Z
Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32668793
[TBL] [Abstract][Full Text] [Related]
15. A Novel Distributed Multitask Fuzzy Clustering Algorithm for Automatic MR Brain Image Segmentation.
Jiang Y; Zhao K; Xia K; Xue J; Zhou L; Ding Y; Qian P
J Med Syst; 2019 Mar; 43(5):118. PubMed ID: 30911929
[TBL] [Abstract][Full Text] [Related]
16. Efficient Segmentation of Brain Tumor Using FL-SNM with a Metaheuristic Approach to Optimization.
Natarajan A; Kumarasamy S
J Med Syst; 2019 Jan; 43(2):25. PubMed ID: 30604101
[TBL] [Abstract][Full Text] [Related]
17. Suspicious Lesion Segmentation on Brain, Mammograms and Breast MR Images Using New Optimized Spatial Feature Based Super-Pixel Fuzzy C-Means Clustering.
Kumar SN; Fred AL; Varghese PS
J Digit Imaging; 2019 Apr; 32(2):322-335. PubMed ID: 30402671
[TBL] [Abstract][Full Text] [Related]
18. Performance analysis of unsupervised optimal fuzzy clustering algorithm for MRI brain tumor segmentation.
Blessy SA; Sulochana CH
Technol Health Care; 2015; 23(1):23-35. PubMed ID: 25408284
[TBL] [Abstract][Full Text] [Related]
19. A spatial fuzzy C-means algorithm for segmentation of brain MRI images.
Khan SU; Ullah I; Ahmed I; Imran A; Ullah N
J Xray Sci Technol; 2019; 27(6):1087-1099. PubMed ID: 31561406
[TBL] [Abstract][Full Text] [Related]
20. An Enhancement of Deep Learning Algorithm for Brain Tumor Segmentation Using Kernel Based CNN with M-SVM.
Thillaikkarasi R; Saravanan S
J Med Syst; 2019 Feb; 43(4):84. PubMed ID: 30810822
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]