[HTML][HTML] Medical deep learning—A systematic meta-review

J Egger, C Gsaxner, A Pepe, KL Pomykala… - Computer methods and …, 2022 - Elsevier
Deep learning has remarkably impacted several different scientific disciplines over the last
few years. For example, in image processing and analysis, deep learning algorithms were …

A survey on deep learning in medicine: Why, how and when?

F Piccialli, V Di Somma, F Giampaolo, S Cuomo… - Information …, 2021 - Elsevier
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …

Opportunities and obstacles for deep learning in biology and medicine

T Ching, DS Himmelstein… - Journal of the …, 2018 - royalsocietypublishing.org
Deep learning describes a class of machine learning algorithms that are capable of
combining raw inputs into layers of intermediate features. These algorithms have recently …

[HTML][HTML] An overview of deep learning in medical imaging

A Anaya-Isaza, L Mera-Jiménez… - Informatics in medicine …, 2021 - Elsevier
Deep learning (DL) is one of the branches of artificial intelligence that has seen exponential
growth in recent years. The scientific community has focused its attention on DL due to its …

A systematic collection of medical image datasets for deep learning

J Li, G Zhu, C Hua, M Feng, B Bennamoun, P Li… - ACM Computing …, 2023 - dl.acm.org
The astounding success made by artificial intelligence in healthcare and other fields proves
that it can achieve human-like performance. However, success always comes with …

Machine learning and deep learning: Open issues and future research directions for the next 10 years

A Pramod, HS Naicker, AK Tyagi - Computational analysis and …, 2021 - Wiley Online Library
With the development in technology, many other technologies like machine learning (ML),
deep learning, blockchain technology, Internet of Things, and quantum computing have …

A review of deep learning algorithms and their applications in healthcare

H Abdel-Jaber, D Devassy, A Al Salam, L Hidaytallah… - Algorithms, 2022 - mdpi.com
Deep learning uses artificial neural networks to recognize patterns and learn from them to
make decisions. Deep learning is a type of machine learning that uses artificial neural …

Book review: Deep learning

KG Kim - Healthcare informatics research, 2016 - synapse.koreamed.org
Kwang Gi Kim https://doi. org/10.4258/hir. 2016.22. 4.351 ing those who are beginning their
careers in deep learning and artificial intelligence research. The other target audience …

Clinical big data and deep learning: Applications, challenges, and future outlooks

Y Yu, M Li, L Liu, Y Li, J Wang - Big Data Mining and Analytics, 2019 - ieeexplore.ieee.org
The explosion of digital healthcare data has led to a surge of data-driven medical research
based on machine learning. In recent years, as a powerful technique for big data, deep …

A survey of deep learning models in medical therapeutic areas

A Nogales, AJ Garcia-Tejedor, D Monge… - Artificial intelligence in …, 2021 - Elsevier
Artificial intelligence is a broad field that comprises a wide range of techniques, where deep
learning is presently the one with the most impact. Moreover, the medical field is an area …