Results 11 to 20 of about 11,426,298 (383)
Mathematics, 2020 As the extension of the fuzzy sets (FSs) theory, the intuitionistic fuzzy sets (IFSs) play an important role in handling the uncertainty under the uncertain environments.
Qianli Zhou, Hongming Mo, Yong Deng
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Energy-efficient high-fidelity image reconstruction with memristor arrays for medical diagnosis. [PDF]
Nat Commun, 2023 Image reconstruction algorithms raise critical challenges in massive data processing for medical diagnosis. Here, the authors propose a solution to significantly accelerate medical image reconstruction on memristor arrays, showing 79× faster speed and ...
Zhao H +11 more
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A survey on the interpretability of deep learning in medical diagnosis. [PDF]
Multimed Syst, 2022 Deep learning has demonstrated remarkable performance in the medical domain, with accuracy that rivals or even exceeds that of human experts. However, it has a significant problem that these models are “black-box” structures, which means they are opaque,
Teng Q, Liu Z, Song Y, Han K, Lu Y.
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Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future [PDF]
Italian National Conference on Sensors, 2021 With the advances of data-driven machine learning research, a wide variety of prediction problems have been tackled. It has become critical to explore how machine learning and specifically deep learning methods can be exploited to analyse healthcare data.
David Ahmedt-Aristizabal +4 more
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A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis. [PDF]
Bioengineering (Basel)Disease diagnosis represents a critical and arduous endeavor within the medical field. Artificial intelligence (AI) techniques, spanning from machine learning and deep learning to large model paradigms, stand poised to significantly augment physicians in
Xu X +9 more
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Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis [PDF]
AAAI Conference on Artificial Intelligence, 2021 Recent advances in unsupervised domain adaptation (UDA) show that transferable prototypical learning presents a powerful means for class conditional alignment, which encourages the closeness of cross-domain class centroids.
Xiaofeng Liu +9 more
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Improving the accuracy of medical diagnosis with causal machine learning
Nature Communications, 2020 Machine learning promises to revolutionize clinical decision making and diagnosis. In medical diagnosis a doctor aims to explain a patient’s symptoms by determining the diseases causing them. However, existing machine learning approaches to diagnosis are
Jonathan G. Richens +2 more
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2-Additive Choquet Similarity Measures For Multi-Period Medical Diagnosis in Single-Valued Neutrosophic Set Setting [PDF]
Neutrosophic Sets and Systems, 2021 Medical diagnosis is a disease identification process that matches symptoms with diseases based on the symptoms of target patient. In this process, it is necessary to establish a similarity relation between symptoms and diseases so as to determine the ...
Murat Olgun +3 more
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Intelligent medical assistant diagnosis method based on data fusion
工程科学学报, 2021 In the field of medicine, in order to diagnose a patient’s condition more efficiently and conveniently, image classification has been widely leveraged.
Tao-hong ZHANG +3 more
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Sensors, 2022 Injuries to the hamstring muscles are an increasing problem in sports. Imaging plays a key role in diagnosing and managing athletes with muscle injuries, but there are several problems with conventional imaging modalities with respect to cost and ...
Laura Guerrero Orozco +2 more
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