187 related articles for article (PubMed ID: 38271792)
1. A deep learning-based interactive medical image segmentation framework with sequential memory.
Mikhailov I; Chauveau B; Bourdel N; Bartoli A
Comput Methods Programs Biomed; 2024 Mar; 245():108038. PubMed ID: 38271792
[TBL] [Abstract][Full Text] [Related]
2. Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors.
Kavur AE; Gezer NS; Barış M; Şahin Y; Özkan S; Baydar B; Yüksel U; Kılıkçıer Ç; Olut Ş; Bozdağı Akar G; Ünal G; Dicle O; Selver MA
Diagn Interv Radiol; 2020 Jan; 26(1):11-21. PubMed ID: 31904568
[TBL] [Abstract][Full Text] [Related]
3. Interactive 3D U-net for the segmentation of the pancreas in computed tomography scans.
Boers TGW; Hu Y; Gibson E; Barratt DC; Bonmati E; Krdzalic J; van der Heijden F; Hermans JJ; Huisman HJ
Phys Med Biol; 2020 Mar; 65(6):065002. PubMed ID: 31978921
[TBL] [Abstract][Full Text] [Related]
4. A robust and automatic CT-3D ultrasound registration method based on segmentation, context, and edge hybrid metric.
He B; Zhao S; Dai Y; Wu J; Luo H; Guo J; Ni Z; Wu T; Kuang F; Jiang H; Zhang Y; Jia F
Med Phys; 2023 Oct; 50(10):6243-6258. PubMed ID: 36975007
[TBL] [Abstract][Full Text] [Related]
5. A Deep Learning Framework for Segmenting Brain Tumors Using MRI and Synthetically Generated CT Images.
Islam KT; Wijewickrema S; O'Leary S
Sensors (Basel); 2022 Jan; 22(2):. PubMed ID: 35062484
[TBL] [Abstract][Full Text] [Related]
6. DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation.
Wang G; Zuluaga MA; Li W; Pratt R; Patel PA; Aertsen M; Doel T; David AL; Deprest J; Ourselin S; Vercauteren T
IEEE Trans Pattern Anal Mach Intell; 2019 Jul; 41(7):1559-1572. PubMed ID: 29993532
[TBL] [Abstract][Full Text] [Related]
7. Surface-GCN: Learning interaction experience for organ segmentation in 3D medical images.
Tian F; Tian Z; Chen Z; Zhang D; Du S
Med Phys; 2023 Aug; 50(8):5030-5044. PubMed ID: 36738103
[TBL] [Abstract][Full Text] [Related]
8. MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning.
Luo X; Wang G; Song T; Zhang J; Aertsen M; Deprest J; Ourselin S; Vercauteren T; Zhang S
Med Image Anal; 2021 Aug; 72():102102. PubMed ID: 34118654
[TBL] [Abstract][Full Text] [Related]
9. A novel adaptive cubic quasi-Newton optimizer for deep learning based medical image analysis tasks, validated on detection of COVID-19 and segmentation for COVID-19 lung infection, liver tumor, and optic disc/cup.
Liu Y; Zhang M; Zhong Z; Zeng X
Med Phys; 2023 Mar; 50(3):1528-1538. PubMed ID: 36057788
[TBL] [Abstract][Full Text] [Related]
10. Generative multi-adversarial network for striking the right balance in abdominal image segmentation.
Rezaei M; Näppi JJ; Lippert C; Meinel C; Yoshida H
Int J Comput Assist Radiol Surg; 2020 Nov; 15(11):1847-1858. PubMed ID: 32897490
[TBL] [Abstract][Full Text] [Related]
11. Efficient contour-based annotation by iterative deep learning for organ segmentation from volumetric medical images.
Zhuang M; Chen Z; Wang H; Tang H; He J; Qin B; Yang Y; Jin X; Yu M; Jin B; Li T; Kettunen L
Int J Comput Assist Radiol Surg; 2023 Feb; 18(2):379-394. PubMed ID: 36048319
[TBL] [Abstract][Full Text] [Related]
12. HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation.
Li X; Xia M; Jiao J; Zhou S; Chang C; Wang Y; Guo Y
Med Image Anal; 2023 Aug; 88():102862. PubMed ID: 37295312
[TBL] [Abstract][Full Text] [Related]
13. Fast interactive medical image segmentation with weakly supervised deep learning method.
Girum KB; Créhange G; Hussain R; Lalande A
Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1437-1444. PubMed ID: 32653985
[TBL] [Abstract][Full Text] [Related]
14. Interactive segmentation of medical images using deep learning.
Zhao X; Pan H; Bai W; Li B; Wang H; Zhang M; Li Y; Zhang D; Geng H; Chen M
Phys Med Biol; 2024 Feb; 69(4):. PubMed ID: 38198729
[TBL] [Abstract][Full Text] [Related]
15. Liver segmentation in contrast enhanced CT data using graph cuts and interactive 3D segmentation refinement methods.
Beichel R; Bornik A; Bauer C; Sorantin E
Med Phys; 2012 Mar; 39(3):1361-73. PubMed ID: 22380370
[TBL] [Abstract][Full Text] [Related]
16. Multi-view secondary input collaborative deep learning for lung nodule 3D segmentation.
Dong X; Xu S; Liu Y; Wang A; Saripan MI; Li L; Zhang X; Lu L
Cancer Imaging; 2020 Aug; 20(1):53. PubMed ID: 32738913
[TBL] [Abstract][Full Text] [Related]
17. Real-time 3D interactive segmentation of echocardiographic data through user-based deformation of B-spline explicit active surfaces.
Barbosa D; Heyde B; Cikes M; Dietenbeck T; Claus P; Friboulet D; Bernard O; D'hooge J
Comput Med Imaging Graph; 2014 Jan; 38(1):57-67. PubMed ID: 24332441
[TBL] [Abstract][Full Text] [Related]
18. Interactive lung segmentation in abnormal human and animal chest CT scans.
Kockelkorn TT; Schaefer-Prokop CM; Bozovic G; Muñoz-Barrutia A; van Rikxoort EM; Brown MS; de Jong PA; Viergever MA; van Ginneken B
Med Phys; 2014 Aug; 41(8):081915. PubMed ID: 25086546
[TBL] [Abstract][Full Text] [Related]
19. Automatic bladder segmentation from CT images using deep CNN and 3D fully connected CRF-RNN.
Xu X; Zhou F; Liu B
Int J Comput Assist Radiol Surg; 2018 Jul; 13(7):967-975. PubMed ID: 29556905
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
