Results 11 to 20 of about 11,852,880 (383)
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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Medical Diagnosis and Life Span of Sufferer Using Interval Valued Complex Fuzzy Relations
IEEE Access, 2021 Fuzzy set theory resolved the crux of modeling uncertainty, vagueness, and imprecision. Many researchers have contributed to the development of the theory. This paper intends to define the innovative concept of the interval valued complex fuzzy relations
Abdul Nasir +3 more
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A survey on the interpretability of deep learning in medical diagnosis
Multimedia Systems, 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,
Qiaoying Teng +4 more
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Dynamically switchable magnetic resonance imaging contrast agents
Exploration, 2021 Contrast agents can improve the sensitivity and resolution of magnetic resonance imaging (MRI) by accelerating the relaxation times of surrounding water protons.
Qiyue Wang +5 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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An Application of Single-Valued Neutrosophic Sets in Medical Diagnosis [PDF]
Neutrosophic Sets and Systems, 2017 In this paper, we present the use of single-valued neutrosophic sets in medical diagnosis by using distance measures and similarity measures. Using interconnection between single-valued neutrosophic sets and symptoms of patient, we determine the type of ...
G. Shahzadi, M. Akram, A. B. Saeid
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Deep Learning-Based Smart IoT Health System for Blindness Detection Using Retina Images
IEEE Access, 2021 Deep Learning-based Smart Healthcare is getting so much attention due to real-time applicability in everyone life’s, and It has obtained more attention with the convergence of IoT.
Amit Kumar Jaiswal +5 more
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MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training for X-ray Diagnosis [PDF]
IEEE International Conference on Computer Vision, 2023 In this paper, we consider enhancing medical visual-language pre-training (VLP) with domain-specific knowledge, by exploiting the paired image-text reports from the radiological daily practice.
Chaoyi Wu +4 more
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Advanced Photonics Research, 2022 Close to half of the world population have smartphones, while a flagship smartphone today has been integrated with more than 20 smart components and sensors, making a smartphone a highly integrated platform that can potentially mimic the five senses of ...
Jinlong Zhu +4 more
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Micro/Nanorobots for Medical Diagnosis and Disease Treatment
Micromachines, 2022 Micro/nanorobots are functional devices in microns, at nanoscale, which enable efficient propulsion through chemical reactions or external physical field, including ultrasonic, optical, magnetic, and other external fields, as well as microorganisms ...
Yinglei Zhang +3 more
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