159 related articles for article (PubMed ID: 34351864)
21. Automatic lung tumor segmentation from CT images using improved 3D densely connected UNet.
Zhang G; Yang Z; Jiang S
Med Biol Eng Comput; 2022 Nov; 60(11):3311-3323. PubMed ID: 36169904
[TBL] [Abstract][Full Text] [Related]
22. CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans.
Mahmud T; Rahman MA; Fattah SA; Kung SY
IEEE Trans Artif Intell; 2021 Jun; 2(3):283-297. PubMed ID: 37981918
[TBL] [Abstract][Full Text] [Related]
23. PST-Radiomics: a PET/CT lymphoma classification method based on pseudo spatial-temporal radiomic features and structured atrous recurrent convolutional neural network.
Wang M; Jiang H
Phys Med Biol; 2023 Dec; 68(23):. PubMed ID: 37956448
[No Abstract] [Full Text] [Related]
24. FS-UNet: Mass segmentation in mammograms using an encoder-decoder architecture with feature strengthening.
Pi J; Qi Y; Lou M; Li X; Wang Y; Xu C; Ma Y
Comput Biol Med; 2021 Oct; 137():104800. PubMed ID: 34507155
[TBL] [Abstract][Full Text] [Related]
25. N-Net: an UNet architecture with dual encoder for medical image segmentation.
Liang B; Tang C; Zhang W; Xu M; Wu T
Signal Image Video Process; 2023 Mar; ():1-9. PubMed ID: 37362231
[TBL] [Abstract][Full Text] [Related]
26. Pancreas segmentation with probabilistic map guided bi-directional recurrent UNet.
Li J; Lin X; Che H; Li H; Qian X
Phys Med Biol; 2021 May; 66(11):. PubMed ID: 33915526
[TBL] [Abstract][Full Text] [Related]
27. EAR-UNet: A deep learning-based approach for segmentation of tympanic membranes from otoscopic images.
Pham VT; Tran TT; Wang PC; Chen PY; Lo MT
Artif Intell Med; 2021 May; 115():102065. PubMed ID: 34001323
[TBL] [Abstract][Full Text] [Related]
28. Cascade Path Augmentation Unet for bladder cancer segmentation in MRI.
Yu J; Cai L; Chen C; Fu X; Wang L; Yuan B; Yang X; Lu Q
Med Phys; 2022 Jul; 49(7):4622-4631. PubMed ID: 35389528
[TBL] [Abstract][Full Text] [Related]
29. MFP-Unet: A novel deep learning based approach for left ventricle segmentation in echocardiography.
Moradi S; Oghli MG; Alizadehasl A; Shiri I; Oveisi N; Oveisi M; Maleki M; Dhooge J
Phys Med; 2019 Nov; 67():58-69. PubMed ID: 31671333
[TBL] [Abstract][Full Text] [Related]
30. DiSegNet: A deep dilated convolutional encoder-decoder architecture for lymph node segmentation on PET/CT images.
Xu G; Cao H; Udupa JK; Tong Y; Torigian DA
Comput Med Imaging Graph; 2021 Mar; 88():101851. PubMed ID: 33465588
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. Dual attention fusion UNet for COVID-19 lesion segmentation from CT images.
Ma Y; Zhang Y; Chen L; Jiang Q; Wei B
J Xray Sci Technol; 2023; 31(4):713-729. PubMed ID: 37092210
[TBL] [Abstract][Full Text] [Related]
33. Dense-UNet: a novel multiphoton
Cai S; Tian Y; Lui H; Zeng H; Wu Y; Chen G
Quant Imaging Med Surg; 2020 Jun; 10(6):1275-1285. PubMed ID: 32550136
[TBL] [Abstract][Full Text] [Related]
34. Automatic microscopic diagnosis of diseases using an improved UNet++ architecture.
Hoorali F; Khosravi H; Moradi B
Tissue Cell; 2022 Jun; 76():101816. PubMed ID: 35569405
[TBL] [Abstract][Full Text] [Related]
35. HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images.
Kushnure DT; Talbar SN
Comput Methods Programs Biomed; 2022 Jan; 213():106501. PubMed ID: 34752959
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Cervical cell's nucleus segmentation through an improved UNet architecture.
Rasheed A; Shirazi SH; Umar AI; Shahzad M; Yousaf W; Khan Z
PLoS One; 2023; 18(10):e0283568. PubMed ID: 37788295
[TBL] [Abstract][Full Text] [Related]
38. A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images.
Hussain E; Mahanta LB; Das CR; Choudhury M; Chowdhury M
Artif Intell Med; 2020 Jul; 107():101897. PubMed ID: 32828445
[TBL] [Abstract][Full Text] [Related]
39. Multi-scale attention and deep supervision-based 3D UNet for automatic liver segmentation from CT.
Wang J; Zhang X; Guo L; Shi C; Tamura S
Math Biosci Eng; 2023 Jan; 20(1):1297-1316. PubMed ID: 36650812
[TBL] [Abstract][Full Text] [Related]
40. Automatic Bacillus anthracis bacteria detection and segmentation in microscopic images using UNet+.
Hoorali F; Khosravi H; Moradi B
J Microbiol Methods; 2020 Oct; 177():106056. PubMed ID: 32931840
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]