169 related articles for article (PubMed ID: 35780603)
1. CM-SegNet: A deep learning-based automatic segmentation approach for medical images by combining convolution and multilayer perceptron.
Xing W; Zhu Z; Hou D; Yue Y; Dai F; Li Y; Tong L; Song Y; Ta D
Comput Biol Med; 2022 Aug; 147():105797. PubMed ID: 35780603
[TBL] [Abstract][Full Text] [Related]
2. Medical image segmentation model based on triple gate MultiLayer perceptron.
Yan J; Wang X; Cai J; Qin Q; Yang H; Wang Q; Cheng Y; Gan T; Jiang H; Deng J; Chen B
Sci Rep; 2022 Apr; 12(1):6103. PubMed ID: 35413958
[TBL] [Abstract][Full Text] [Related]
3. SegNet-based left ventricular MRI segmentation for the diagnosis of cardiac hypertrophy and myocardial infarction.
Yan Z; Su Y; Sun H; Yu H; Ma W; Chi H; Cao H; Chang Q
Comput Methods Programs Biomed; 2022 Dec; 227():107197. PubMed ID: 36351349
[TBL] [Abstract][Full Text] [Related]
4. Brain SegNet: 3D local refinement network for brain lesion segmentation.
Hu X; Luo W; Hu J; Guo S; Huang W; Scott MR; Wiest R; Dahlweid M; Reyes M
BMC Med Imaging; 2020 Feb; 20(1):17. PubMed ID: 32046685
[TBL] [Abstract][Full Text] [Related]
5. Simultaneous brain structure segmentation in magnetic resonance images using deep convolutional neural networks.
Maruyama T; Hayashi N; Sato Y; Ogura T; Uehara M; Ogura A; Watanabe H; Kitoh Y;
Radiol Phys Technol; 2021 Dec; 14(4):358-365. PubMed ID: 34338999
[TBL] [Abstract][Full Text] [Related]
6. Automated polyp segmentation for colonoscopy images: A method based on convolutional neural networks and ensemble learning.
Guo X; Zhang N; Guo J; Zhang H; Hao Y; Hang J
Med Phys; 2019 Dec; 46(12):5666-5676. PubMed ID: 31610020
[TBL] [Abstract][Full Text] [Related]
7. Automated deep learning method for whole-breast segmentation in diffusion-weighted breast MRI.
Zhang L; Mohamed AA; Chai R; Guo Y; Zheng B; Wu S
J Magn Reson Imaging; 2020 Feb; 51(2):635-643. PubMed ID: 31301201
[TBL] [Abstract][Full Text] [Related]
8. A Robust and Accurate Deep-learning-based Method for the Segmentation of Subcortical Brain: Cross-dataset Evaluation of Generalization Performance.
Furuhashi N; Okuhata S; Kobayashi T
Magn Reson Med Sci; 2021 Jun; 20(2):166-174. PubMed ID: 32389928
[TBL] [Abstract][Full Text] [Related]
9. Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.
Orlando N; Gillies DJ; Gyacskov I; Romagnoli C; D'Souza D; Fenster A
Med Phys; 2020 Jun; 47(6):2413-2426. PubMed ID: 32166768
[TBL] [Abstract][Full Text] [Related]
10. Fully automatic segmentation on prostate MR images based on cascaded fully convolution network.
Zhu Y; Wei R; Gao G; Ding L; Zhang X; Wang X; Zhang J
J Magn Reson Imaging; 2019 Apr; 49(4):1149-1156. PubMed ID: 30350434
[TBL] [Abstract][Full Text] [Related]
11. Deep learning-based automatic segmentation of images in cardiac radiography: A promising challenge.
Song Y; Ren S; Lu Y; Fu X; Wong KKL
Comput Methods Programs Biomed; 2022 Jun; 220():106821. PubMed ID: 35487181
[TBL] [Abstract][Full Text] [Related]
12. Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0.
Agarwal M; Agarwal S; Saba L; Chabert GL; Gupta S; Carriero A; Pasche A; Danna P; Mehmedovic A; Faa G; Shrivastava S; Jain K; Jain H; Jujaray T; Singh IM; Turk M; Chadha PS; Johri AM; Khanna NN; Mavrogeni S; Laird JR; Sobel DW; Miner M; Balestrieri A; Sfikakis PP; Tsoulfas G; Misra DP; Agarwal V; Kitas GD; Teji JS; Al-Maini M; Dhanjil SK; Nicolaides A; Sharma A; Rathore V; Fatemi M; Alizad A; Krishnan PR; Yadav RR; Nagy F; Kincses ZT; Ruzsa Z; Naidu S; Viskovic K; Kalra MK; Suri JS
Comput Biol Med; 2022 Jul; 146():105571. PubMed ID: 35751196
[TBL] [Abstract][Full Text] [Related]
13. Hi-
Showrav TT; Hasan MK
Phys Med Biol; 2024 May; 69(11):. PubMed ID: 38593830
[No Abstract] [Full Text] [Related]
14. Automated 3D U-net based segmentation of neonatal cerebral ventricles from 3D ultrasound images.
Szentimrey Z; de Ribaupierre S; Fenster A; Ukwatta E
Med Phys; 2022 Feb; 49(2):1034-1046. PubMed ID: 34958147
[TBL] [Abstract][Full Text] [Related]
15. Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks.
Al-Masni MA; Al-Antari MA; Choi MT; Han SM; Kim TS
Comput Methods Programs Biomed; 2018 Aug; 162():221-231. PubMed ID: 29903489
[TBL] [Abstract][Full Text] [Related]
16. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
[TBL] [Abstract][Full Text] [Related]
17. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.
Burton W; Myers C; Rullkoetter P
Comput Methods Programs Biomed; 2020 Jun; 189():105328. PubMed ID: 31958580
[TBL] [Abstract][Full Text] [Related]
18. HWA-SegNet: Multi-channel skin lesion image segmentation network with hierarchical analysis and weight adjustment.
Han Q; Wang H; Hou M; Weng T; Pei Y; Li Z; Chen G; Tian Y; Qiu Z
Comput Biol Med; 2023 Jan; 152():106343. PubMed ID: 36481758
[TBL] [Abstract][Full Text] [Related]
19. Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture.
Lee B; Yamanakkanavar N; Choi JY
PLoS One; 2020; 15(8):e0236493. PubMed ID: 32745102
[TBL] [Abstract][Full Text] [Related]
20. A novel M-SegNet with global attention CNN architecture for automatic segmentation of brain MRI.
Yamanakkanavar N; Lee B
Comput Biol Med; 2021 Sep; 136():104761. PubMed ID: 34426168
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]