The state of the art of deep learning models in medical science and their challenges

C Bhatt, I Kumar, V Vijayakumar, KU Singh… - Multimedia Systems, 2021 - Springer
With time, AI technologies have matured well and resonated in various domains of applied
sciences and engineering. The sub-domains of AI, machine learning (ML), deep learning …

Review on Deep Learning based Medical Image Processing

A Agarwal, R Kumar, M Gupta - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Deep learning (DL) has made extensive progress in many exploration regions. Computer
vision is one of the most trending fields advancing due to extensive research in developing …

A holistic overview of deep learning approach in medical imaging

R Yousef, G Gupta, N Yousef, M Khari - Multimedia Systems, 2022 - Springer
Medical images are a rich source of invaluable necessary information used by clinicians.
Recent technologies have introduced many advancements for exploiting the most of this …

Deep learning in medical image analysis

Y Zhang, JM Gorriz, Z Dong - Journal of Imaging, 2021 - mdpi.com
Over recent years, deep learning (DL) has established itself as a powerful tool across a
broad spectrum of domains in imaging—eg, classification, prediction, detection …

[HTML][HTML] State-of-the-art review on deep learning in medical imaging

M Biswas, V Kuppili, L Saba, DR Edla… - Frontiers in Bioscience …, 2019 - imrpress.com
Deep learning (DL) is affecting each and every sphere of public and private lives and
becoming a tool for daily use. The power of DL lies in the fact that it tries to imitate the …

Deep learning in healthcare

YW Chen, LC Jain - Paradigms and Applications; Springer: Berlin …, 2020 - Springer
With the rapid development of computer technologies and explosive growth of big data, a
growing interest has been seen in Deep Learning (DL). DL can also be considered as a …

Trends in using deep learning algorithms in biomedical prediction systems

Y Wang, L Liu, C Wang - Frontiers in Neuroscience, 2023 - frontiersin.org
In the domain of using DL-based methods in medical and healthcare prediction systems, the
utilization of state-of-the-art deep learning (DL) methodologies assumes paramount …

A survey of medical image analysis using deep learning approaches

A Rehman, MA Butt, M Zaman - 2021 5th International …, 2021 - ieeexplore.ieee.org
With the expanding development of Deep Learning techniques Medical Image Analysis
have become an active field of research. Medical Image Analysis typically refers to the …

Medical image analysis using deep learning algorithms

M Li, Y Jiang, Y Zhang, H Zhu - Frontiers in Public Health, 2023 - frontiersin.org
In the field of medical image analysis within deep learning (DL), the importance of
employing advanced DL techniques cannot be overstated. DL has achieved impressive …

Deep learning for medical image processing: Overview, challenges and the future

MI Razzak, S Naz, A Zaib - … in BioApps: Automation of decision making, 2018 - Springer
The health care sector is totally different from any other industry. It is a high priority sector
and consumers expect the highest level of care and services regardless of cost. The health …