408 related articles for article (PubMed ID: 36724498)
1. Deep learning for automatic mandible segmentation on dental panoramic x-ray images.
Machado LF; Watanabe PCA; Rodrigues GA; Junior LOM
Biomed Phys Eng Express; 2023 Mar; 9(3):. PubMed ID: 36724498
[TBL] [Abstract][Full Text] [Related]
2. Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography.
Verhelst PJ; Smolders A; Beznik T; Meewis J; Vandemeulebroucke A; Shaheen E; Van Gerven A; Willems H; Politis C; Jacobs R
J Dent; 2021 Nov; 114():103786. PubMed ID: 34425172
[TBL] [Abstract][Full Text] [Related]
3. A conventional-to-spectral CT image translation augmentation workflow for robust contrast injection-independent organ segmentation.
Lartaud PJ; Dupont C; Hallé D; Schleef A; Dessouky R; Vlachomitrou AS; Rouet JM; Nempont O; Boussel L
Med Phys; 2022 Feb; 49(2):1108-1122. PubMed ID: 34689353
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Enhancing teeth segmentation using multifusion deep neural net in panoramic X-ray images.
Arora S; Gupta R; Srivastava R
J Xray Sci Technol; 2023; 31(5):1145-1161. PubMed ID: 37483058
[TBL] [Abstract][Full Text] [Related]
6. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.
Burton W; Myers C; Rullkoetter P
Comput Methods Programs Biomed; 2020 Jun; 189():105328. PubMed ID: 31958580
[TBL] [Abstract][Full Text] [Related]
7. A new dataset of oral panoramic x-ray images and parallel network using transformers for medical image segmentation.
Chen P; Zhang J; Jiang Y; Li Y; Song L; Hu F; Yu Y
J Stomatol Oral Maxillofac Surg; 2024 Jun; 125(3):101700. PubMed ID: 37979781
[TBL] [Abstract][Full Text] [Related]
8. Effect of dataset size, image quality, and image type on deep learning-based automatic prostate segmentation in 3D ultrasound.
Orlando N; Gyacskov I; Gillies DJ; Guo F; Romagnoli C; D'Souza D; Cool DW; Hoover DA; Fenster A
Phys Med Biol; 2022 Mar; 67(7):. PubMed ID: 35240585
[TBL] [Abstract][Full Text] [Related]
9. Fully automatic segmentation of craniomaxillofacial CT scans for computer-assisted orthognathic surgery planning using the nnU-Net framework.
Dot G; Schouman T; Dubois G; Rouch P; Gajny L
Eur Radiol; 2022 Jun; 32(6):3639-3648. PubMed ID: 35037088
[TBL] [Abstract][Full Text] [Related]
10. Impact of deep learning-based multiorgan segmentation methods on patient-specific internal dosimetry in PET/CT imaging: A comparative study.
Karimipourfard M; Sina S; Mahani H; Alavi M; Yazdi M
J Appl Clin Med Phys; 2024 Feb; 25(2):e14254. PubMed ID: 38214349
[TBL] [Abstract][Full Text] [Related]
11. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
[TBL] [Abstract][Full Text] [Related]
12. Robustness study of noisy annotation in deep learning based medical image segmentation.
Yu S; Chen M; Zhang E; Wu J; Yu H; Yang Z; Ma L; Gu X; Lu W
Phys Med Biol; 2020 Aug; 65(17):175007. PubMed ID: 32503027
[TBL] [Abstract][Full Text] [Related]
13. Exploiting multimodal CNN architecture for automated teeth segmentation on dental panoramic X-ray images.
Arora S; Tripathy SK; Gupta R; Srivastava R
Proc Inst Mech Eng H; 2023 Mar; 237(3):395-405. PubMed ID: 36803221
[TBL] [Abstract][Full Text] [Related]
14. Automatic segmentation of mandible in panoramic x-ray.
Abdi AH; Kasaei S; Mehdizadeh M
J Med Imaging (Bellingham); 2015 Oct; 2(4):044003. PubMed ID: 26587551
[TBL] [Abstract][Full Text] [Related]
15. Automatic computation of mandibular indices in dental panoramic radiographs for early osteoporosis detection.
Aliaga I; Vera V; Vera M; García E; Pedrera M; Pajares G
Artif Intell Med; 2020 Mar; 103():101816. PubMed ID: 32143810
[TBL] [Abstract][Full Text] [Related]
16. Enhanced Deep-Learning-Based Automatic Left-Femur Segmentation Scheme with Attribute Augmentation.
Apivanichkul K; Phasukkit P; Dankulchai P; Sittiwong W; Jitwatcharakomol T
Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420884
[TBL] [Abstract][Full Text] [Related]
17. Teeth U-Net: A segmentation model of dental panoramic X-ray images for context semantics and contrast enhancement.
Hou S; Zhou T; Liu Y; Dang P; Lu H; Shi H
Comput Biol Med; 2023 Jan; 152():106296. PubMed ID: 36462370
[TBL] [Abstract][Full Text] [Related]
18. U-net architecture with embedded Inception-ResNet-v2 image encoding modules for automatic segmentation of organs-at-risk in head and neck cancer radiation therapy based on computed tomography scans.
Siciarz P; McCurdy B
Phys Med Biol; 2022 Jun; 67(11):. PubMed ID: 35134792
[No Abstract] [Full Text] [Related]
19. Automatic segmentation of hepatocellular carcinoma on dynamic contrast-enhanced MRI based on deep learning.
Luo X; Li P; Chen H; Zhou K; Piao S; Yang L; Hu B; Geng D
Phys Med Biol; 2024 Mar; 69(6):. PubMed ID: 38330492
[No Abstract] [Full Text] [Related]
20. Edge roughness quantifies impact of physician variation on training and performance of deep learning auto-segmentation models for the esophagus.
Yan Y; Kehayias C; He J; Aerts HJWL; Fitzgerald KJ; Kann BH; Kozono DE; Guthier CV; Mak RH
Sci Rep; 2024 Jan; 14(1):2536. PubMed ID: 38291051
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
