91 related articles for article (PubMed ID: 34891865)
21. CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation.
Feng S; Zhao H; Shi F; Cheng X; Wang M; Ma Y; Xiang D; Zhu W; Chen X
IEEE Trans Med Imaging; 2020 Oct; 39(10):3008-3018. PubMed ID: 32224453
[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. GACDN: generative adversarial feature completion and diagnosis network for COVID-19.
Zhu Q; Ye H; Sun L; Li Z; Wang R; Shi F; Shen D; Zhang D
BMC Med Imaging; 2021 Oct; 21(1):154. PubMed ID: 34674660
[TBL] [Abstract][Full Text] [Related]
24. Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19.
Fung DLX; Liu Q; Zammit J; Leung CK; Hu P
J Transl Med; 2021 Jul; 19(1):318. PubMed ID: 34311742
[TBL] [Abstract][Full Text] [Related]
25. An effective deep network for automatic segmentation of complex lung tumors in CT images.
Wang B; Chen K; Tian X; Yang Y; Zhang X
Med Phys; 2021 Sep; 48(9):5004-5016. PubMed ID: 34224147
[TBL] [Abstract][Full Text] [Related]
26. Contour-enhanced attention CNN for CT-based COVID-19 segmentation.
Karthik R; Menaka R; M H; Won D
Pattern Recognit; 2022 May; 125():108538. PubMed ID: 35068591
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. 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]
29. AI aiding in diagnosing, tracking recovery of COVID-19 using deep learning on Chest CT scans.
Kuchana M; Srivastava A; Das R; Mathew J; Mishra A; Khatter K
Multimed Tools Appl; 2021; 80(6):9161-9175. PubMed ID: 33192159
[TBL] [Abstract][Full Text] [Related]
30. Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images.
Mu N; Wang H; Zhang Y; Jiang J; Tang J
Pattern Recognit; 2021 Dec; 120():108168. PubMed ID: 34305181
[TBL] [Abstract][Full Text] [Related]
31. A modified DeepLabV3+ based semantic segmentation of chest computed tomography images for COVID-19 lung infections.
Polat H
Int J Imaging Syst Technol; 2022 Sep; 32(5):1481-1495. PubMed ID: 35941930
[TBL] [Abstract][Full Text] [Related]
32. Dense gate network for biomedical image segmentation.
Li D; Chen C; Li J; Wang L
Int J Comput Assist Radiol Surg; 2020 Aug; 15(8):1247-1255. PubMed ID: 32270415
[TBL] [Abstract][Full Text] [Related]
33. Spatial feature fusion convolutional network for liver and liver tumor segmentation from CT images.
Liu T; Liu J; Ma Y; He J; Han J; Ding X; Chen CT
Med Phys; 2021 Jan; 48(1):264-272. PubMed ID: 33159809
[TBL] [Abstract][Full Text] [Related]
34. Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning.
Qiblawey Y; Tahir A; Chowdhury MEH; Khandakar A; Kiranyaz S; Rahman T; Ibtehaz N; Mahmud S; Maadeed SA; Musharavati F; Ayari MA
Diagnostics (Basel); 2021 May; 11(5):. PubMed ID: 34067937
[TBL] [Abstract][Full Text] [Related]
35. Dynamic feature learning for COVID-19 segmentation and classification.
Zhang X; Jiang R; Huang P; Wang T; Hu M; Scarsbrook AF; Frangi AF
Comput Biol Med; 2022 Nov; 150():106136. PubMed ID: 36240599
[TBL] [Abstract][Full Text] [Related]
36. [Spatial and temporal distribution and predictive value of chest CT scoring in patients with COVID-19].
Li S; Liu SY; Zhao YQ; Li QY; Liu DY; Liu ZC; Li DS; Zeng L; Ge QG; Ma QB; Shen N
Zhonghua Jie He He Hu Xi Za Zhi; 2021 Mar; 44(3):230-236. PubMed ID: 33721937
[No Abstract] [Full Text] [Related]
37. A Denoising Self-supervised Approach for COVID-19 Pneumonia Lesion Segmentation with Limited Annotated CT Images.
Gao Y; Wang H; Liu X; Huang N; Wang G; Zhang S
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3705-3708. PubMed ID: 34892041
[TBL] [Abstract][Full Text] [Related]
38. 3D IFPN: Improved Feature Pyramid Network for Automatic Segmentation of Gastric Tumor.
Li H; Liu B; Zhang Y; Fu C; Han X; Du L; Gao W; Chen Y; Liu X; Wang Y; Wang T; Ma G; Lei B
Front Oncol; 2021; 11():618496. PubMed ID: 34094903
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. Liver vessel segmentation based on inter-scale V-Net.
Yang J; Fu M; Hu Y
Math Biosci Eng; 2021 May; 18(4):4327-4340. PubMed ID: 34198439
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]