Follow-up of liver metastases: a comparison of deep learning and RECIST 1.1.
- Published in:
- European Radiology, 2023, v. 33, n. 12, p. 9320, doi. 10.1007/s00330-023-09926-0
- By:
- Publication type:
- Article
Works by Szeskin, Adi
Results: 4
1
2
Graph-based automatic detection and classification of lesion changes in pairs of CT studies for oncology follow-up.
- Published in:
- International Journal of Computer Assisted Radiology & Surgery, 2024, v. 19, n. 2, p. 241, doi. 10.1007/s11548-023-03000-2
- By:
- Publication type:
- Article
3
Measuring Geographic Atrophy Area Using Column-Based Machine Learning Software on Spectral-Domain Optical Coherence Tomography versus Fundus Auto Fluorescence.
- Published in:
- Bioengineering (Basel), 2024, v. 11, n. 8, p. 849, doi. 10.3390/bioengineering11080849
- By:
- Publication type:
- Article
4
Automated Evaluation of Human Embryo Blastulation and Implantation Potential using Deep‐Learning.
- Published in:
- Advanced Intelligent Systems (2640-4567), 2020, v. 2, n. 10, p. 1, doi. 10.1002/aisy.202000080
- By:
- Publication type:
- Article