Object contour based on improving region growing method and context border condition.
- Published in:
- Concurrency & Computation: Practice & Experience, 2021, v. 33, n. 2, p. 1, doi. 10.1002/cpe.5472
- By:
- Publication type:
- Article
Works by Vo Thi Hong Tuyet
Results: 7
1
2
Melanoma Classification via Hybrid Saliency and Conditional Random Field with Bottleneck to Optimize DeepLab.
- Published in:
- International Journal of Online & Biomedical Engineering, 2023, v. 19, n. 10, p. 140, doi. 10.3991/ijoe.v19i10.39721
- By:
- Publication type:
- Article
3
A Deep Bottleneck U-Net Combined with Saliency Map for Classifying Diabetic Retinopathy in Fundus Images.
- Published in:
- International Journal of Online & Biomedical Engineering, 2022, v. 18, n. 2, p. 105, doi. 10.3991/ijoe.v18i02.27605
- By:
- Publication type:
- Article
4
Content Based Medical Image Retrieval Based on Salient Regions Combined with Deep Learning.
- Published in:
- Mobile Networks & Applications, 2021, v. 26, n. 3, p. 1300, doi. 10.1007/s11036-021-01762-0
- By:
- Publication type:
- Article
5
Medical Image Segmentation based on Fully Convolutional Network and Minimizing Energy Between Curves.
- Published in:
- TEM Journal, 2020, v. 9, n. 4, p. 1348, doi. 10.18421/TEM94-05
- By:
- Publication type:
- Article
6
Improving the Curvelet Saliency and Deep Convolutional Neural Networks for Diabetic Retinopathy Classification in Fundus Images.
- Published in:
- Engineering, Technology & Applied Science Research, 2022, v. 12, n. 1, p. 8204, doi. 10.48084/etasr.4679
- By:
- Publication type:
- Article
7
Adaptive Content-Based Medical Image Retrieval Based On Local Features Extraction In Shearlet Domain.
- Published in:
- EAI Endorsed Transactions on Creative Technologies, 2019, v. 6, n. 18, p. 1, doi. 10.4108/eai.18-3-2019.159351
- By:
- Publication type:
- Article