409 related articles for article (PubMed ID: 29728237)
1. Brain tumor segmentation with Vander Lugt correlator based active contour.
Essadike A; Ouabida E; Bouzid A
Comput Methods Programs Biomed; 2018 Jul; 160():103-117. PubMed ID: 29728237
[TBL] [Abstract][Full Text] [Related]
2. Automated segmentation of ophthalmological images by an optical based approach for early detection of eye tumor growing.
Ouabida E; Essadike A; Bouzid A
Phys Med; 2018 Apr; 48():37-46. PubMed ID: 29728227
[TBL] [Abstract][Full Text] [Related]
3. A new deformable model based on fractional Wright energy function for tumor segmentation of volumetric brain MRI scans.
Ibrahim RW; Hasan AM; Jalab HA
Comput Methods Programs Biomed; 2018 Sep; 163():21-28. PubMed ID: 30119853
[TBL] [Abstract][Full Text] [Related]
4. Automatic metastatic brain tumor segmentation for stereotactic radiosurgery applications.
Liu Y; Stojadinovic S; Hrycushko B; Wardak Z; Lu W; Yan Y; Jiang SB; Timmerman R; Abdulrahman R; Nedzi L; Gu X
Phys Med Biol; 2016 Dec; 61(24):8440-8461. PubMed ID: 27845915
[TBL] [Abstract][Full Text] [Related]
5. A novel content-based active contour model for brain tumor segmentation.
Sachdeva J; Kumar V; Gupta I; Khandelwal N; Ahuja CK
Magn Reson Imaging; 2012 Jun; 30(5):694-715. PubMed ID: 22459443
[TBL] [Abstract][Full Text] [Related]
6. Automatic selection of localized region-based active contour models using image content analysis applied to brain tumor segmentation.
Ilunga-Mbuyamba E; Avina-Cervantes JG; Cepeda-Negrete J; Ibarra-Manzano MA; Chalopin C
Comput Biol Med; 2017 Dec; 91():69-79. PubMed ID: 29049909
[TBL] [Abstract][Full Text] [Related]
7. Automatic Semantic Segmentation of Brain Gliomas from MRI Images Using a Deep Cascaded Neural Network.
Cui S; Mao L; Jiang J; Liu C; Xiong S
J Healthc Eng; 2018; 2018():4940593. PubMed ID: 29755716
[TBL] [Abstract][Full Text] [Related]
8. Fast and robust brain tumor segmentation using level set method with multiple image information.
Lok KH; Shi L; Zhu X; Wang D
J Xray Sci Technol; 2017; 25(2):301-312. PubMed ID: 28269819
[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. Morphological active contour model for automatic brain tumor extraction from multimodal magnetic resonance images.
Shahvaran Z; Kazemi K; Fouladivanda M; Helfroush MS; Godefroy O; Aarabi A
J Neurosci Methods; 2021 Oct; 362():109296. PubMed ID: 34302860
[TBL] [Abstract][Full Text] [Related]
11. A level set method based on domain transformation and bias correction for MRI brain tumor segmentation.
Khosravanian A; Rahmanimanesh M; Keshavarzi P; Mozaffari S
J Neurosci Methods; 2021 Mar; 352():109091. PubMed ID: 33515604
[TBL] [Abstract][Full Text] [Related]
12. Brain tumor segmentation from multimodal magnetic resonance images via sparse representation.
Li Y; Jia F; Qin J
Artif Intell Med; 2016 Oct; 73():1-13. PubMed ID: 27926377
[TBL] [Abstract][Full Text] [Related]
13. Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans.
da Silva GLF; Diniz PS; Ferreira JL; França JVF; Silva AC; de Paiva AC; de Cavalcanti EAA
Med Biol Eng Comput; 2020 Sep; 58(9):1947-1964. PubMed ID: 32566988
[TBL] [Abstract][Full Text] [Related]
14. Fast level set method for glioma brain tumor segmentation based on Superpixel fuzzy clustering and lattice Boltzmann method.
Khosravanian A; Rahmanimanesh M; Keshavarzi P; Mozaffari S
Comput Methods Programs Biomed; 2021 Jan; 198():105809. PubMed ID: 33130495
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Adrenal tumor segmentation method for MR images.
Barstuğan M; Ceylan R; Asoglu S; Cebeci H; Koplay M
Comput Methods Programs Biomed; 2018 Oct; 164():87-100. PubMed ID: 30195434
[TBL] [Abstract][Full Text] [Related]
17. Brain tumor classification and segmentation using sparse coding and dictionary learning.
Salman Al-Shaikhli SD; Yang MY; Rosenhahn B
Biomed Tech (Berl); 2016 Aug; 61(4):413-29. PubMed ID: 26351901
[TBL] [Abstract][Full Text] [Related]
18. Multimodal MRI Brain Tumor Image Segmentation Using Sparse Subspace Clustering Algorithm.
Liu L; Kuang L; Ji Y
Comput Math Methods Med; 2020; 2020():8620403. PubMed ID: 32714431
[TBL] [Abstract][Full Text] [Related]
19. Automated Robust Image Segmentation: Level Set Method Using Nonnegative Matrix Factorization with Application to Brain MRI.
Dera D; Bouaynaya N; Fathallah-Shaykh HM
Bull Math Biol; 2016 Jul; 78(7):1450-76. PubMed ID: 27417984
[TBL] [Abstract][Full Text] [Related]
20. Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images.
Ma C; Luo G; Wang K
IEEE Trans Med Imaging; 2018 Aug; 37(8):1943-1954. PubMed ID: 29994627
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
