Articles
Published 05-09-2024
Keywords
- Deep learning,
- phenotyping
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
How to Cite
[1]
Dr. Priya Singh, “Deep Learning-based Medical Imaging Phenotyping for Disease Diagnosis”, Journal of Deep Learning in Genomic Data Analysis, vol. 4, no. 2, pp. 62–68, Sep. 2024, Accessed: Nov. 21, 2024. [Online]. Available: https://thelifescience.org/index.php/jdlgda/article/view/29
Abstract
Deep learning has revolutionized medical imaging by enabling automated analysis of complex imaging data for disease diagnosis and patient stratification. This paper reviews the latest advancements in deep learning-based medical imaging phenotyping for disease diagnosis. We discuss the challenges, methodologies, and applications of deep learning in medical imaging phenotyping, highlighting its potential for enhancing diagnostic accuracy and personalized medicine.
Downloads
Download data is not yet available.
References
- Saeed, A., Zahoor, A., Husnain, A., & Gondal, R. M. (2024). Enhancing E-commerce furniture shopping with AR and AI-driven 3D modeling. International Journal of Science and Research Archive, 12(2), 040-046.
- N. Pushadapu, “AI-Driven Solutions for Seamless Integration of FHIR in Healthcare Systems: Techniques, Tools, and Best Practices ”, Journal of AI in Healthcare and Medicine, vol. 3, no. 1, pp. 234–277, Jun. 2023
- Chen, Jan-Jo, Ali Husnain, and Wei-Wei Cheng. "Exploring the Trade-Off Between Performance and Cost in Facial Recognition: Deep Learning Versus Traditional Computer Vision." Proceedings of SAI Intelligent Systems Conference. Cham: Springer Nature Switzerland, 2023.
- Alomari, Ghaith, et al. “AI-Driven Integrated Hardware and Software Solution for EEG-Based Detection of Depression and Anxiety.” International Journal for Multidisciplinary Research, vol. 6, no. 3, May 2024, pp. 1–24.
- Saeed, Ayesha, et al. "A Comparative Study of Cat Swarm Algorithm for Graph Coloring Problem: Convergence Analysis and Performance Evaluation." International Journal of Innovative Research in Computer Science & Technology 12.4 (2024): 1-9.