136 related articles for article (PubMed ID: 34902793)
1. An end-to-end approach to segmentation in medical images with CNN and posterior-CRF.
Chen S; Sedghi Gamechi Z; Dubost F; van Tulder G; de Bruijne M
Med Image Anal; 2022 Feb; 76():102311. PubMed ID: 34902793
[TBL] [Abstract][Full Text] [Related]
2. Automatic bladder segmentation from CT images using deep CNN and 3D fully connected CRF-RNN.
Xu X; Zhou F; Liu B
Int J Comput Assist Radiol Surg; 2018 Jul; 13(7):967-975. PubMed ID: 29556905
[TBL] [Abstract][Full Text] [Related]
3. Convolutional Neural Network Based Frameworks for Fast Automatic Segmentation of Thalamic Nuclei from Native and Synthesized Contrast Structural MRI.
Umapathy L; Keerthivasan MB; Zahr NM; Bilgin A; Saranathan M
Neuroinformatics; 2022 Jul; 20(3):651-664. PubMed ID: 34626333
[TBL] [Abstract][Full Text] [Related]
4. Deep convolutional neural network for segmentation of knee joint anatomy.
Zhou Z; Zhao G; Kijowski R; Liu F
Magn Reson Med; 2018 Dec; 80(6):2759-2770. PubMed ID: 29774599
[TBL] [Abstract][Full Text] [Related]
5. Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology.
Rachmadi MF; Valdés-Hernández MDC; Agan MLF; Di Perri C; Komura T;
Comput Med Imaging Graph; 2018 Jun; 66():28-43. PubMed ID: 29523002
[TBL] [Abstract][Full Text] [Related]
6. Prostate segmentation in MRI using a convolutional neural network architecture and training strategy based on statistical shape models.
Karimi D; Samei G; Kesch C; Nir G; Salcudean SE
Int J Comput Assist Radiol Surg; 2018 Aug; 13(8):1211-1219. PubMed ID: 29766373
[TBL] [Abstract][Full Text] [Related]
7. Low-Grade Glioma Segmentation Based on CNN with Fully Connected CRF.
Li Z; Wang Y; Yu J; Shi Z; Guo Y; Chen L; Mao Y
J Healthc Eng; 2017; 2017():9283480. PubMed ID: 29065666
[TBL] [Abstract][Full Text] [Related]
8. An efficient brain tumor image classifier by combining multi-pathway cascaded deep neural network and handcrafted features in MR images.
Bal A; Banerjee M; Chaki R; Sharma P
Med Biol Eng Comput; 2021 Aug; 59(7-8):1495-1527. PubMed ID: 34184181
[TBL] [Abstract][Full Text] [Related]
9. A novel MRI segmentation method using CNN-based correction network for MRI-guided adaptive radiotherapy.
Fu Y; Mazur TR; Wu X; Liu S; Chang X; Lu Y; Li HH; Kim H; Roach MC; Henke L; Yang D
Med Phys; 2018 Nov; 45(11):5129-5137. PubMed ID: 30269345
[TBL] [Abstract][Full Text] [Related]
10. Convolutional neural network-based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR images.
Zabihollahy F; White JA; Ukwatta E
Med Phys; 2019 Apr; 46(4):1740-1751. PubMed ID: 30734937
[TBL] [Abstract][Full Text] [Related]
11. Liver tumor segmentation based on 3D convolutional neural network with dual scale.
Meng L; Tian Y; Bu S
J Appl Clin Med Phys; 2020 Jan; 21(1):144-157. PubMed ID: 31793212
[TBL] [Abstract][Full Text] [Related]
12. Multi-level Kronecker Convolutional Neural Network (ML-KCNN) for Glioma Segmentation from Multi-modal MRI Volumetric Data.
Ali MJ; Raza B; Shahid AR
J Digit Imaging; 2021 Aug; 34(4):905-921. PubMed ID: 34327627
[TBL] [Abstract][Full Text] [Related]
13. Convolutional neural network-based pelvic floor structure segmentation using magnetic resonance imaging in pelvic organ prolapse.
Feng F; Ashton-Miller JA; DeLancey JOL; Luo J
Med Phys; 2020 Sep; 47(9):4281-4293. PubMed ID: 32638370
[TBL] [Abstract][Full Text] [Related]
14. Nasopharyngeal carcinoma segmentation based on enhanced convolutional neural networks using multi-modal metric learning.
Ma Z; Zhou S; Wu X; Zhang H; Yan W; Sun S; Zhou J
Phys Med Biol; 2019 Jan; 64(2):025005. PubMed ID: 30524024
[TBL] [Abstract][Full Text] [Related]
15. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
[TBL] [Abstract][Full Text] [Related]
16. A Multiscale CNN-CRF Framework for Environmental Microorganism Image Segmentation.
Zhang J; Li C; Kulwa F; Zhao X; Sun C; Li Z; Jiang T; Li H; Qi S
Biomed Res Int; 2020; 2020():4621403. PubMed ID: 32724802
[TBL] [Abstract][Full Text] [Related]
17. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
Tong N; Gou S; Yang S; Ruan D; Sheng K
Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
[TBL] [Abstract][Full Text] [Related]
18. Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN.
Karthik R; Menaka R; Hariharan M; Won D
Comput Methods Programs Biomed; 2021 Mar; 200():105831. PubMed ID: 33223277
[TBL] [Abstract][Full Text] [Related]
19. Pancreas Segmentation in MRI using Graph-Based Decision Fusion on Convolutional Neural Networks.
Cai J; Lu L; Zhang Z; Xing F; Yang L; Yin Q
Med Image Comput Comput Assist Interv; 2016 Oct; 9901():442-450. PubMed ID: 28083570
[TBL] [Abstract][Full Text] [Related]
20. Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks.
Ibragimov B; Xing L
Med Phys; 2017 Feb; 44(2):547-557. PubMed ID: 28205307
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]