167 related articles for article (PubMed ID: 33113290)
1. Deep learning and level set approach for liver and tumor segmentation from CT scans.
Alirr OI
J Appl Clin Med Phys; 2020 Oct; 21(10):200-209. PubMed ID: 33113290
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. SADSNet: A robust 3D synchronous segmentation network for liver and liver tumors based on spatial attention mechanism and deep supervision.
Yang S; Liang Y; Wu S; Sun P; Chen Z
J Xray Sci Technol; 2024; 32(3):707-723. PubMed ID: 38552134
[TBL] [Abstract][Full Text] [Related]
4. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
Tong N; Gou S; Yang S; Ruan D; Sheng K
Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
[TBL] [Abstract][Full Text] [Related]
5. Automatic liver segmentation by integrating fully convolutional networks into active contour models.
Guo X; Schwartz LH; Zhao B
Med Phys; 2019 Oct; 46(10):4455-4469. PubMed ID: 31356688
[TBL] [Abstract][Full Text] [Related]
6. Patient-specific and global convolutional neural networks for robust automatic liver tumor delineation in follow-up CT studies.
Vivanti R; Joskowicz L; Lev-Cohain N; Ephrat A; Sosna J
Med Biol Eng Comput; 2018 Sep; 56(9):1699-1713. PubMed ID: 29524116
[TBL] [Abstract][Full Text] [Related]
7. Efficient two-step liver and tumour segmentation on abdominal CT via deep learning and a conditional random field.
Chen Y; Zheng C; Hu F; Zhou T; Feng L; Xu G; Yi Z; Zhang X
Comput Biol Med; 2022 Nov; 150():106076. PubMed ID: 36137320
[TBL] [Abstract][Full Text] [Related]
8. Hepatic vessels segmentation using deep learning and preprocessing enhancement.
Alirr OI; Rahni AAA
J Appl Clin Med Phys; 2023 May; 24(5):e13966. PubMed ID: 36933239
[TBL] [Abstract][Full Text] [Related]
9. Tumor conspicuity enhancement-based segmentation model for liver tumor segmentation and RECIST diameter measurement in non-contrast CT images.
Liu H; Zhou Y; Gou S; Luo Z
Comput Biol Med; 2024 May; 174():108420. PubMed ID: 38613896
[TBL] [Abstract][Full Text] [Related]
10. Segmentation of liver tumors with abdominal computed tomography using fully convolutional networks.
Chen CI; Lu NH; Huang YH; Liu KY; Hsu SY; Matsushima A; Wang YM; Chen TB
J Xray Sci Technol; 2022; 30(5):953-966. PubMed ID: 35754254
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing.
Chlebus G; Schenk A; Moltz JH; van Ginneken B; Hahn HK; Meine H
Sci Rep; 2018 Oct; 8(1):15497. PubMed ID: 30341319
[TBL] [Abstract][Full Text] [Related]
13. Fully automatic deep learning-based lung parenchyma segmentation and boundary correction in thoracic CT scans.
Rikhari H; Baidya Kayal E; Ganguly S; Sasi A; Sharma S; Dheeksha DS; Saini M; Rangarajan K; Bakhshi S; Kandasamy D; Mehndiratta A
Int J Comput Assist Radiol Surg; 2024 Feb; 19(2):261-272. PubMed ID: 37594684
[TBL] [Abstract][Full Text] [Related]
14. Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation.
Budak Ü; Guo Y; Tanyildizi E; Şengür A
Med Hypotheses; 2020 Jan; 134():109431. PubMed ID: 31669758
[TBL] [Abstract][Full Text] [Related]
15. Liver tissue segmentation in multiphase CT scans using cascaded convolutional neural networks.
Ouhmich F; Agnus V; Noblet V; Heitz F; Pessaux P
Int J Comput Assist Radiol Surg; 2019 Aug; 14(8):1275-1284. PubMed ID: 31041697
[TBL] [Abstract][Full Text] [Related]
16. Deep learning-based liver segmentation for fusion-guided intervention.
Fang X; Xu S; Wood BJ; Yan P
Int J Comput Assist Radiol Surg; 2020 Jun; 15(6):963-972. PubMed ID: 32314228
[TBL] [Abstract][Full Text] [Related]
17. An automated liver tumour segmentation from abdominal CT scans for hepatic surgical planning.
Alirr OI; Rahni AAA; Golkar E
Int J Comput Assist Radiol Surg; 2018 Aug; 13(8):1169-1176. PubMed ID: 29860549
[TBL] [Abstract][Full Text] [Related]
18. Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images.
Heutink F; Koch V; Verbist B; van der Woude WJ; Mylanus E; Huinck W; Sechopoulos I; Caballo M
Comput Methods Programs Biomed; 2020 Jul; 191():105387. PubMed ID: 32109685
[TBL] [Abstract][Full Text] [Related]
19. Lung tumor segmentation in 4D CT images using motion convolutional neural networks.
Momin S; Lei Y; Tian Z; Wang T; Roper J; Kesarwala AH; Higgins K; Bradley JD; Liu T; Yang X
Med Phys; 2021 Nov; 48(11):7141-7153. PubMed ID: 34469001
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
