[HTML][HTML] A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
Administrative and medical processes of the healthcare organizations are rapidly changing
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
Artificial intelligence in ultrasound
YT Shen, L Chen, WW Yue, HX Xu - European Journal of Radiology, 2021 - Elsevier
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Elsevier logo Journals & Books Search RegisterSign in View PDF Download full issue …
Elsevier logo Journals & Books Search RegisterSign in View PDF Download full issue …
Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning
X Qian, J Pei, H Zheng, X Xie, L Yan, H Zhang… - Nature biomedical …, 2021 - nature.com
The clinical application of breast ultrasound for the assessment of cancer risk and of deep
learning for the classification of breast-ultrasound images has been hindered by inter-grader …
learning for the classification of breast-ultrasound images has been hindered by inter-grader …
[HTML][HTML] A review of explainable deep learning cancer detection models in medical imaging
Deep learning has demonstrated remarkable accuracy analyzing images for cancer
detection tasks in recent years. The accuracy that has been achieved rivals radiologists and …
detection tasks in recent years. The accuracy that has been achieved rivals radiologists and …
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation
Assessing the location and extent of lesions caused by chronic stroke is critical for medical
diagnosis, surgical planning, and prognosis. In recent years, with the rapid development of …
diagnosis, surgical planning, and prognosis. In recent years, with the rapid development of …
Semi-supervised GAN-based radiomics model for data augmentation in breast ultrasound mass classification
Abstract Background and Objective The capability of deep learning radiomics (DLR) to
extract high-level medical imaging features has promoted the use of computer-aided …
extract high-level medical imaging features has promoted the use of computer-aided …
[HTML][HTML] Convolutional neural networks for computer-aided detection or diagnosis in medical image analysis: An overview
J Gao, Q Jiang, B Zhou, D Chen - Mathematical Biosciences and …, 2019 - aimspress.com
Computer-aided detection or diagnosis (CAD) has been a promising area of research over
the last two decades. Medical image analysis aims to provide a more efficient diagnostic and …
the last two decades. Medical image analysis aims to provide a more efficient diagnostic and …
CAD and AI for breast cancer—recent development and challenges
Computer-aided diagnosis (CAD) has been a popular area of research and development in
the past few decades. In CAD, machine learning methods and multidisciplinary knowledge …
the past few decades. In CAD, machine learning methods and multidisciplinary knowledge …
[HTML][HTML] Breast tumour classification using ultrasound elastography with machine learning: A systematic scoping review
Simple Summary Breast cancer is one of the most common cancers among women globally.
Early and accurate screening of breast tumours can improve survival. Ultrasound …
Early and accurate screening of breast tumours can improve survival. Ultrasound …
Automatic classification and segmentation of teeth on 3D dental model using hierarchical deep learning networks
S Tian, N Dai, B Zhang, F Yuan, Q Yu, X Cheng - Ieee Access, 2019 - ieeexplore.ieee.org
To solve the problem of low efficiency, the complexity of the interactive operation, and the
high degree of manual intervention in existing methods, we propose a novel approach …
high degree of manual intervention in existing methods, we propose a novel approach …