A review on basic deep learning technologies and applications

T Patil, S Pandey, K Visrani - Data Science and Intelligent Applications …, 2020 - Springer
Deep learning is a rapidly developing area in data science research. Deep learning is
basically a mix of machine learning and artificial intelligence. It proved to be more versatile …

Deep Learning Strategies in Biomedicine Imaging Technique

P Jayadharshini, S Santhiya, S Keerthika… - Artificial Intelligence …, 2024 - taylorfrancis.com
A collection of medical devices and software that makes up the “Digital platform of Medicinal
Objects” connects online computer networks to healthcare information technology (IT) …

Healthcare techniques through deep learning: issues, challenges and opportunities

R Amin, MA Al Ghamdi, SH Almotiri, M Alruily - IEEE Access, 2021 - ieeexplore.ieee.org
In artificial intelligence, deep learning (DL) is a process that replicates the working
mechanism of the human brain in data processing, and it also creates patterns for decision …

Deep learning with convolutional neural networks: from theory to practice

K Pandey, S Patel - … 7th International Conference on Trends in …, 2023 - ieeexplore.ieee.org
In the changing era of AI, Deep Learning plays a vital role. It is basically a part of Machine
Learning. The main attribute of Deep Learning is that its models works without any human …

[PDF][PDF] FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE AND DEEP LEARNING TECHNIQUES

L Tabassum - learning, 2020 - academia.edu
The present study insights on the fundamentals of artificial intelligence and deep learning
along with their applications. There has been increased usage of internet and computer …

Amalgamation of deep learning in healthcare systems

N Gnanasankaran, B Subashini… - Deep Learning for …, 2023 - taylorfrancis.com
Deep learning's massive powers are transforming healthcare. In recent years, AI and
machine learning have grown in popularity and acceptability. The situation became much …

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 …

Healthcare data analysis using deep learning paradigm

KR Devi, S Suganyadevi, K Balasamy - Deep Learning for Cognitive …, 2023 - degruyter.com
In the present decades, analysis of healthcare domain plays a significant role for research
purposes and it depends more on computer technology. The analysis of medical data is one …

A Survey on Different Algorithms Used in Deep Learning Process

K Chelladurai, N Sujatha - E3S Web of Conferences, 2023 - e3s-conferences.org
Deep Learning is a significant tool that communicates with the computer to perform task as a
natural human being. Deep learning algorithms exhibits a vital role in defining the features …

[PDF][PDF] Architecture of Deep Learning and Its Applications

AS Dawood, ZM Faris - IRAQI JOURNAL OF COMPUTERS …, 2023 - iasj.net
Recently, Deep Learning (DL) has accomplished enormous prosperity in various areas, like
natural language processing (NLP), image processing, different medical issues and …