184 related articles for article (PubMed ID: 34813472)
21. TBUnet: A Pure Convolutional U-Net Capable of Multifaceted Feature Extraction for Medical Image Segmentation.
Chen L; Li J; Ge H
J Med Syst; 2023 Nov; 47(1):122. PubMed ID: 37975926
[TBL] [Abstract][Full Text] [Related]
22. R2U++: a multiscale recurrent residual U-Net with dense skip connections for medical image segmentation.
Mubashar M; Ali H; Grönlund C; Azmat S
Neural Comput Appl; 2022; 34(20):17723-17739. PubMed ID: 35694048
[TBL] [Abstract][Full Text] [Related]
23. Fast and Accurate U-Net Model for Fetal Ultrasound Image Segmentation.
Ashkani Chenarlogh V; Ghelich Oghli M; Shabanzadeh A; Sirjani N; Akhavan A; Shiri I; Arabi H; Sanei Taheri M; Tarzamni MK
Ultrason Imaging; 2022 Jan; 44(1):25-38. PubMed ID: 34986724
[TBL] [Abstract][Full Text] [Related]
24. MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation.
Srivastava A; Jha D; Chanda S; Pal U; Johansen H; Johansen D; Riegler M; Ali S; Halvorsen P
IEEE J Biomed Health Inform; 2022 May; 26(5):2252-2263. PubMed ID: 34941539
[TBL] [Abstract][Full Text] [Related]
25. Hybrid dilation and attention residual U-Net for medical image segmentation.
Wang Z; Zou Y; Liu PX
Comput Biol Med; 2021 Jul; 134():104449. PubMed ID: 33993015
[TBL] [Abstract][Full Text] [Related]
26. ELTS-Net: An enhanced liver tumor segmentation network with augmented receptive field and global contextual information.
Guo X; Wang Z; Wu P; Li Y; Alsaadi FE; Zeng N
Comput Biol Med; 2024 Feb; 169():107879. PubMed ID: 38142549
[TBL] [Abstract][Full Text] [Related]
27. SDResU-Net: Separable and Dilated Residual U-Net for MRI Brain Tumor Segmentation.
Zhang J; Lv X; Sun Q; Zhang Q; Wei X; Liu B
Curr Med Imaging; 2020; 16(6):720-728. PubMed ID: 32723244
[TBL] [Abstract][Full Text] [Related]
28. ABCNet: A new efficient 3D dense-structure network for segmentation and analysis of body tissue composition on body-torso-wide CT images.
Liu T; Pan J; Torigian DA; Xu P; Miao Q; Tong Y; Udupa JK
Med Phys; 2020 Jul; 47(7):2986-2999. PubMed ID: 32170754
[TBL] [Abstract][Full Text] [Related]
29. A lightweight asymmetric U-Net framework for acute ischemic stroke lesion segmentation in CT and CTP images.
Kumar A; Ghosal P; Kundu SS; Mukherjee A; Nandi D
Comput Methods Programs Biomed; 2022 Nov; 226():107157. PubMed ID: 36208537
[TBL] [Abstract][Full Text] [Related]
30. AdaEn-Net: An ensemble of adaptive 2D-3D Fully Convolutional Networks for medical image segmentation.
Baldeon Calisto M; Lai-Yuen SK
Neural Netw; 2020 Jun; 126():76-94. PubMed ID: 32203876
[TBL] [Abstract][Full Text] [Related]
31. Curv-Net: Curvilinear structure segmentation network based on selective kernel and multi-Bi-ConvLSTM.
He Y; Sun H; Yi Y; Chen W; Kong J; Zheng C
Med Phys; 2022 May; 49(5):3144-3158. PubMed ID: 35172016
[TBL] [Abstract][Full Text] [Related]
32. EMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation.
Baldeon Calisto M; Lai-Yuen SK
Artif Intell Med; 2021 Sep; 119():102154. PubMed ID: 34531013
[TBL] [Abstract][Full Text] [Related]
33. Towards bi-directional skip connections in encoder-decoder architectures and beyond.
Xiang T; Zhang C; Wang X; Song Y; Liu D; Huang H; Cai W
Med Image Anal; 2022 May; 78():102420. PubMed ID: 35334445
[TBL] [Abstract][Full Text] [Related]
34. Brain stroke classification and segmentation using encoder-decoder based deep convolutional neural networks.
Yalçın S; Vural H
Comput Biol Med; 2022 Oct; 149():105941. PubMed ID: 36055156
[TBL] [Abstract][Full Text] [Related]
35. Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel Segmentation Using a Genetic Algorithm.
Wei J; Zhu G; Fan Z; Liu J; Rong Y; Mo J; Li W; Chen X
IEEE Trans Med Imaging; 2022 Feb; 41(2):292-307. PubMed ID: 34506278
[TBL] [Abstract][Full Text] [Related]
36. Multimodal Biomedical Image Segmentation using Multi-Dimensional U-Convolutional Neural Network.
Srinivasan S; Durairaju K; Deeba K; Mathivanan SK; Karthikeyan P; Shah MA
BMC Med Imaging; 2024 Feb; 24(1):38. PubMed ID: 38331800
[TBL] [Abstract][Full Text] [Related]
37. ConvMedSegNet: A multi-receptive field depthwise convolutional neural network for medical image segmentation.
Peng Y; Yi X; Zhang D; Zhang L; Tian Y; Zhou Z
Comput Biol Med; 2024 Jun; 176():108559. PubMed ID: 38759586
[TBL] [Abstract][Full Text] [Related]
38. DRINet for Medical Image Segmentation.
Chen L; Bentley P; Mori K; Misawa K; Fujiwara M; Rueckert D
IEEE Trans Med Imaging; 2018 Nov; 37(11):2453-2462. PubMed ID: 29993738
[TBL] [Abstract][Full Text] [Related]
39. Vessel segmentation from volumetric images: a multi-scale double-pathway network with class-balanced loss at the voxel level.
Chen Y; Fan S; Chen Y; Che C; Cao X; He X; Song X; Zhao F
Med Phys; 2021 Jul; 48(7):3804-3814. PubMed ID: 33969487
[TBL] [Abstract][Full Text] [Related]
40. Fractal, recurrent, and dense U-Net architectures with EfficientNet encoder for medical image segmentation.
Siddique N; Paheding S; Reyes Angulo AA; Alom MZ; Devabhaktuni VK
J Med Imaging (Bellingham); 2022 Nov; 9(6):064004. PubMed ID: 36591602
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]