295 related articles for article (PubMed ID: 34058628)
21. Brain image segmentation of the corpus callosum by combining Bi-Directional Convolutional LSTM and U-Net using multi-slice CT and MRI.
Wong KKL; Xu W; Ayoub M; Fu YL; Xu H; Shi R; Zhang M; Su F; Huang Z; Chen W
Comput Methods Programs Biomed; 2023 Aug; 238():107602. PubMed ID: 37244234
[TBL] [Abstract][Full Text] [Related]
22. ARPM-net: A novel CNN-based adversarial method with Markov random field enhancement for prostate and organs at risk segmentation in pelvic CT images.
Zhang Z; Zhao T; Gay H; Zhang W; Sun B
Med Phys; 2021 Jan; 48(1):227-237. PubMed ID: 33151620
[TBL] [Abstract][Full Text] [Related]
23. [A computed tomography image segmentation algorithm for improving the diagnostic accuracy of rectal cancer based on U-net and residual block].
Wang H; Ji B; He G; Yu W
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Feb; 39(1):166-174. PubMed ID: 35231978
[TBL] [Abstract][Full Text] [Related]
24. Deep Learning-Based CT Imaging in the Diagnosis of Treatment Effect of Pulmonary Nodules and Radiofrequency Ablation.
Zhou C; Zhao X; Zhao L; Liu J; Chen Z; Fang S
Comput Intell Neurosci; 2022; 2022():7326537. PubMed ID: 35996649
[TBL] [Abstract][Full Text] [Related]
25. MDCC-Net: Multiscale double-channel convolution U-Net framework for colorectal tumor segmentation.
Zheng S; Lin X; Zhang W; He B; Jia S; Wang P; Jiang H; Shi J; Jia F
Comput Biol Med; 2021 Mar; 130():104183. PubMed ID: 33360107
[TBL] [Abstract][Full Text] [Related]
26. DENSE-INception U-net for medical image segmentation.
Zhang Z; Wu C; Coleman S; Kerr D
Comput Methods Programs Biomed; 2020 Aug; 192():105395. PubMed ID: 32163817
[TBL] [Abstract][Full Text] [Related]
27. ALTIS: A fast and automatic lung and trachea CT-image segmentation method.
Sousa AM; Martins SB; Falcão AX; Reis F; Bagatin E; Irion K
Med Phys; 2019 Nov; 46(11):4970-4982. PubMed ID: 31435950
[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. Diagnostic Value of Deep Learning-Based CT Feature for Severe Pulmonary Infection.
Huang T; Zheng X; He L; Chen Z
J Healthc Eng; 2021; 2021():5359084. PubMed ID: 34868521
[TBL] [Abstract][Full Text] [Related]
30. SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography.
Wang J; Lv P; Wang H; Shi C
Comput Methods Programs Biomed; 2021 Sep; 208():106268. PubMed ID: 34274611
[TBL] [Abstract][Full Text] [Related]
31. Analysis of segmentation of lung parenchyma based on deep learning methods.
Tan W; Huang P; Li X; Ren G; Chen Y; Yang J
J Xray Sci Technol; 2021; 29(6):945-959. PubMed ID: 34487013
[TBL] [Abstract][Full Text] [Related]
32. Automated left ventricular myocardium segmentation using 3D deeply supervised attention U-net for coronary computed tomography angiography; CT myocardium segmentation.
Jun Guo B; He X; Lei Y; Harms J; Wang T; Curran WJ; Liu T; Jiang Zhang L; Yang X
Med Phys; 2020 Apr; 47(4):1775-1785. PubMed ID: 32017118
[TBL] [Abstract][Full Text] [Related]
33. Simultaneous object detection and segmentation for patient-specific markerless lung tumor tracking in simulated radiographs with deep learning.
Huang L; Kurz C; Freislederer P; Manapov F; Corradini S; Niyazi M; Belka C; Landry G; Riboldi M
Med Phys; 2024 Mar; 51(3):1957-1973. PubMed ID: 37683107
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Deep learning-based medical image segmentation of the aorta using XR-MSF-U-Net.
Chen W; Huang H; Huang J; Wang K; Qin H; Wong KKL
Comput Methods Programs Biomed; 2022 Oct; 225():107073. PubMed ID: 36029551
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Automatic Lung Nodule Segmentation and Intra-Nodular Heterogeneity Image Generation.
Song J; Huang SC; Kelly B; Liao G; Shi J; Wu N; Li W; Liu Z; Cui L; Lungre M; Moseley ME; Gao P; Tian J; Yeom KW
IEEE J Biomed Health Inform; 2022 Jun; 26(6):2570-2581. PubMed ID: 34910645
[TBL] [Abstract][Full Text] [Related]
38. Multi-scale segmentation squeeze-and-excitation UNet with conditional random field for segmenting lung tumor from CT images.
Zhang B; Qi S; Wu Y; Pan X; Yao Y; Qian W; Guan Y
Comput Methods Programs Biomed; 2022 Jul; 222():106946. PubMed ID: 35716533
[TBL] [Abstract][Full Text] [Related]
39. Densely connected U-Net retinal vessel segmentation algorithm based on multi-scale feature convolution extraction.
Du X; Wang J; Sun W
Med Phys; 2021 Jul; 48(7):3827-3841. PubMed ID: 34028030
[TBL] [Abstract][Full Text] [Related]
40. D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution.
Zhao X; Zhang P; Song F; Fan G; Sun Y; Wang Y; Tian Z; Zhang L; Zhang G
Comput Biol Med; 2021 Aug; 135():104526. PubMed ID: 34146799
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
