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 …

Advances in deep learning-based medical image analysis

X Liu, K Gao, B Liu, C Pan, K Liang, L Yan… - Health Data …, 2021 - spj.science.org
Importance. With the booming growth of artificial intelligence (AI), especially the recent
advancements of deep learning, utilizing advanced deep learning-based methods for …

Data efficient deep learning for medical image analysis: A survey

S Kumari, P Singh - arXiv preprint arXiv:2310.06557, 2023 - arxiv.org
The rapid evolution of deep learning has significantly advanced the field of medical image
analysis. However, despite these achievements, the further enhancement of deep learning …

[图书][B] Deep learning in medical image analysis: challenges and applications

G Lee, H Fujita - 2020 - Springer
Deep learning is at the leading edge of artificial intelligence (AI) and is developing rapidly. In
recent years, it has played an increasingly important role in medical image analysis. Deep …

A data-driven analysis of global research trends in medical image: A survey

C Fan, K Hu, Y Yuan, Y Li - Neurocomputing, 2023 - Elsevier
With the development of artificial intelligence and high-performance computing equipment,
new technologies have huge effects on medical image research. However, it is difficult to …

Going deep in medical image analysis: concepts, methods, challenges, and future directions

F Altaf, SMS Islam, N Akhtar, NK Janjua - IEEE Access, 2019 - ieeexplore.ieee.org
Medical image analysis is currently experiencing a paradigm shift due to deep learning. This
technology has recently attracted so much interest of the Medical Imaging Community that it …

[HTML][HTML] Hello world deep learning in medical imaging

P Lakhani, DL Gray, CR Pett, P Nagy, G Shih - Journal of digital imaging, 2018 - Springer
There is recent popularity in applying machine learning to medical imaging, notably deep
learning, which has achieved state-of-the-art performance in image analysis and …

[HTML][HTML] 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 …

[PDF][PDF] Deep learning in medical image analysis

Y Zhang, JM Gorriz, Z Dong - 2021 - figshare.le.ac.uk
Editorial begins: Over recent years, deep learning (DL) has established itself as a powerful
tool across a broad spectrum of domains in imaging—eg, classification, prediction …

[PDF][PDF] Survey of deep learning applications to medical image analysis

K Suzuki - Med Imaging Technol, 2017 - suzukilab.first.iir.titech.ac.jp
Recently, a machine learning (ML) area called deep learning emerged in the computer-
vision field and became very popular in many fields. It started from an event in late 2012 …