125 related articles for article (PubMed ID: 31154088)
21. An Automatic Glioma Segmentation System Using a Multilevel Attention Pyramid Scene Parsing Network.
Zhang Z; Gao S; Huang Z
Curr Med Imaging; 2021; 17(6):751-761. PubMed ID: 33390119
[TBL] [Abstract][Full Text] [Related]
22. An iterative multi-path fully convolutional neural network for automatic cardiac segmentation in cine MR images.
Ma Z; Wu X; Wang X; Song Q; Yin Y; Cao K; Wang Y; Zhou J
Med Phys; 2019 Dec; 46(12):5652-5665. PubMed ID: 31605627
[TBL] [Abstract][Full Text] [Related]
23. Residual Channel Attention Network for Brain Glioma Segmentation.
Yao Y; Qian P; Zhao Z; Zeng Z
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():2132-2135. PubMed ID: 36086010
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. Category guided attention network for brain tumor segmentation in MRI.
Li J; Yu H; Chen C; Ding M; Zha S
Phys Med Biol; 2022 Apr; 67(8):. PubMed ID: 35354136
[No Abstract] [Full Text] [Related]
26. Automatic glioma segmentation based on adaptive superpixel.
Wu Y; Zhao Z; Wu W; Lin Y; Wang M
BMC Med Imaging; 2019 Aug; 19(1):73. PubMed ID: 31443642
[TBL] [Abstract][Full Text] [Related]
27. [Research on glioma magnetic resonance imaging segmentation based on dual-channel three-dimensional densely connected network].
Huo Z; Du S; Chen Z; Dai W
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2019 Oct; 36(5):763-768. PubMed ID: 31631624
[TBL] [Abstract][Full Text] [Related]
28. A data augmentation method for fully automatic brain tumor segmentation.
Wang Y; Ji Y; Xiao H
Comput Biol Med; 2022 Oct; 149():106039. PubMed ID: 36055163
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.
Pereira S; Pinto A; Alves V; Silva CA
IEEE Trans Med Imaging; 2016 May; 35(5):1240-1251. PubMed ID: 26960222
[TBL] [Abstract][Full Text] [Related]
31. Automatic brain tissue segmentation in fetal MRI using convolutional neural networks.
Khalili N; Lessmann N; Turk E; Claessens N; Heus R; Kolk T; Viergever MA; Benders MJNL; Išgum I
Magn Reson Imaging; 2019 Dec; 64():77-89. PubMed ID: 31181246
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. 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]
34. A potential field segmentation based method for tumor segmentation on multi-parametric MRI of glioma cancer patients.
Sun R; Wang K; Guo L; Yang C; Chen J; Ti Y; Sa Y
BMC Med Imaging; 2019 Jun; 19(1):48. PubMed ID: 31208349
[TBL] [Abstract][Full Text] [Related]
35. Improving brain tumor segmentation on MRI based on the deep U-net and residual units.
Yang T; Song J; Li L; Tang Q
J Xray Sci Technol; 2020; 28(1):95-110. PubMed ID: 31839620
[TBL] [Abstract][Full Text] [Related]
36. Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.
Lian C; Zhang J; Liu M; Zong X; Hung SC; Lin W; Shen D
Med Image Anal; 2018 May; 46():106-117. PubMed ID: 29518675
[TBL] [Abstract][Full Text] [Related]
37. Brain tumor detection using statistical and machine learning method.
Amin J; Sharif M; Raza M; Saba T; Anjum MA
Comput Methods Programs Biomed; 2019 Aug; 177():69-79. PubMed ID: 31319962
[TBL] [Abstract][Full Text] [Related]
38. Second-order ResU-Net for automatic MRI brain tumor segmentation.
Sheng N; Liu D; Zhang J; Che C; Zhang J
Math Biosci Eng; 2021 Jun; 18(5):4943-4960. PubMed ID: 34517471
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.
Thaha MM; Kumar KPM; Murugan BS; Dhanasekeran S; Vijayakarthick P; Selvi AS
J Med Syst; 2019 Jul; 43(9):294. PubMed ID: 31342192
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]