Machine learning in aerodynamic shape optimization
Abstract Machine learning (ML) has been increasingly used to aid aerodynamic shape
optimization (ASO), thanks to the availability of aerodynamic data and continued …
optimization (ASO), thanks to the availability of aerodynamic data and continued …
Deep learning in medical image registration: a review
This paper presents a review of deep learning (DL)-based medical image registration
methods. We summarized the latest developments and applications of DL-based registration …
methods. We summarized the latest developments and applications of DL-based registration …
Within the lack of chest COVID-19 X-ray dataset: a novel detection model based on GAN and deep transfer learning
The coronavirus (COVID-19) pandemic is putting healthcare systems across the world under
unprecedented and increasing pressure according to the World Health Organization (WHO) …
unprecedented and increasing pressure according to the World Health Organization (WHO) …
Convolutional neural networks for medical image analysis: state-of-the-art, comparisons, improvement and perspectives
Convolutional neural networks, are one of the most representative deep learning models.
CNNs were extensively used in many aspects of medical image analysis, allowing for great …
CNNs were extensively used in many aspects of medical image analysis, allowing for great …
Machine learning and deep learning in medical imaging: intelligent imaging
Artificial intelligence (AI) in medical imaging is a potentially disruptive technology. An
understanding of the principles and application of radiomics, artificial neural networks …
understanding of the principles and application of radiomics, artificial neural networks …
An overview of deep learning methods for multimodal medical data mining
Deep learning methods have achieved significant results in various fields. Due to the
success of these methods, many researchers have used deep learning algorithms in …
success of these methods, many researchers have used deep learning algorithms in …
A deep transfer learning model with classical data augmentation and CGAN to detect COVID-19 from chest CT radiography digital images
M Loey, G Manogaran, NEM Khalifa - Neural Computing and Applications, 2020 - Springer
Abstract The Coronavirus disease 2019 (COVID-19) is the fastest transmittable virus caused
by severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2). The detection of …
by severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2). The detection of …
A review of deep learning with special emphasis on architectures, applications and recent trends
Deep learning (DL) has solved a problem that a few years ago was thought to be intractable—
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …
Highly accurate differentiation of bone marrow cell morphologies using deep neural networks on a large image data set
C Matek, S Krappe, C Münzenmayer… - Blood, The Journal …, 2021 - ashpublications.org
Biomedical applications of deep learning algorithms rely on large expert annotated data
sets. The classification of bone marrow (BM) cell cytomorphology, an important cornerstone …
sets. The classification of bone marrow (BM) cell cytomorphology, an important cornerstone …
A review on brain tumor diagnosis from MRI images: Practical implications, key achievements, and lessons learned
The successful early diagnosis of brain tumors plays a major role in improving the treatment
outcomes and thus improving patient survival. Manually evaluating the numerous magnetic …
outcomes and thus improving patient survival. Manually evaluating the numerous magnetic …