Deep learning in medical imaging and radiation therapy

B Sahiner, A Pezeshk, LM Hadjiiski, X Wang… - Medical …, 2019 - Wiley Online Library
The goals of this review paper on deep learning (DL) in medical imaging and radiation
therapy are to (a) summarize what has been achieved to date;(b) identify common and …

[HTML][HTML] Deep learning in medical ultrasound analysis: a review

S Liu, Y Wang, X Yang, B Lei, L Liu, SX Li, D Ni… - Engineering, 2019 - Elsevier
Ultrasound (US) has become one of the most commonly performed imaging modalities in
clinical practice. It is a rapidly evolving technology with certain advantages and with unique …

Automatic fetal ultrasound standard plane recognition based on deep learning and IIoT

B Pu, K Li, S Li, N Zhu - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Intelligent ultrasound imaging based on deep learning is one of the important applications in
the field of intelligent medical care. In this article, we propose an automatic fetal ultrasound …

Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI

MA Mazurowski, M Buda, A Saha… - Journal of magnetic …, 2019 - Wiley Online Library
Deep learning is a branch of artificial intelligence where networks of simple interconnected
units are used to extract patterns from data in order to solve complex problems. Deep …

Artificial intelligence in ultrasound

YT Shen, L Chen, WW Yue, HX Xu - European Journal of Radiology, 2021 - Elsevier
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A survey of deep-learning applications in ultrasound: Artificial intelligence–powered ultrasound for improving clinical workflow

Z Akkus, J Cai, A Boonrod, A Zeinoddini… - Journal of the American …, 2019 - Elsevier
Ultrasound is the most commonly used imaging modality in clinical practice because it is a
nonionizing, low-cost, and portable point-of-care imaging tool that provides real-time …

A review on deep-learning algorithms for fetal ultrasound-image analysis

MC Fiorentino, FP Villani, M Di Cosmo, E Frontoni… - Medical image …, 2023 - Elsevier
Deep-learning (DL) algorithms are becoming the standard for processing ultrasound (US)
fetal images. A number of survey papers in the field is today available, but most of them are …

Deterministic and probabilistic forecasting of photovoltaic power based on deep convolutional neural network

H Wang, H Yi, J Peng, G Wang, Y Liu, H Jiang… - Energy conversion and …, 2017 - Elsevier
The penetration of photovoltaic (PV) energy into modern electric power and energy systems
has been gradually increased in recent years due to its benefits of being abundant …

Artificial intelligence in diagnostic imaging: impact on the radiography profession

M Hardy, H Harvey - The British journal of radiology, 2020 - academic.oup.com
The arrival of artificially intelligent systems into the domain of medical imaging has focused
attention and sparked much debate on the role and responsibilities of the radiologist …

Fully automated, quality-controlled cardiac analysis from CMR: validation and large-scale application to characterize cardiac function

B Ruijsink, E Puyol-Antón, I Oksuz, M Sinclair… - Cardiovascular …, 2020 - jacc.org
Objectives This study sought to develop a fully automated framework for cardiac function
analysis from cardiac magnetic resonance (CMR), including comprehensive quality control …