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Similarity Measures of Spherical Fuzzy Sets Based on Cosine Function and Their Applications
IEEE Access, 2019 In this paper, we defined ten similarity measures between spherical fuzzy sets (SFSs) based on the cosine function by considering the degree of positive-membership, degree of neutral-membership, degree of non-membership and degree of refusual-membership ...
Guiwu Wei +4 more
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Medical diagnosis – the promise [PDF]
Diagnosis, 2014 AbstractThe field of diagnosis is hardly static. Taking a step back, advances in diagnosis have been dramatic over the past few decades, and promise to accelerate going forward. Progress will be created through three main drivers: Continuing advances in the tools we use for diagnosis, adoption and use of electronic resources, and applying quality ...
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Artificial intelligence in medical diagnosis
Current Medicine Research and Practice, 2020 The use of artificial intelligence (AI) in medicine made its beginning five decades ago in 1972 when researchers at Stanford University in the USA developed an expert system MYCIN for treating blood infections.
Peter Szolovits, R. Patil, W. Schwartz
semanticscholar +1 more source
e-Diagnosis in Medical Parasitology [PDF]
Tropical Medicine and Infectious Disease, 2020 Over the past decade or two, the teaching of laboratory diagnostic parasitology has been neglected in Australasia, as parasitic infections are relatively uncommon. As a consequence, expertise in medical parasitology is dwindling. A team of international experts (including Professor John Goldsmid) has been formed to help in the diagnosis of human ...
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Resolution Enhancement in Terahertz Imaging via Deconvolution
IEEE Access, 2019 Nowadays, terahertz (THz) imaging is quite promising in scientific and biomedical applications. However, the much longer wavelength degrades the resolution of obtained images compared with classical imaging at optical frequencies.
Wei Ning +5 more
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Differences between human and machine perception in medical diagnosis [PDF]
Scientific Reports, 2020 Deep neural networks (DNNs) show promise in image-based medical diagnosis, but cannot be fully trusted since they can fail for reasons unrelated to underlying pathology.
Taro Makino +20 more
semanticscholar +1 more source
Complex & Intelligent Systems, 2020 The single-valued neutrosophic set (SVNS) is a well-known model for handling uncertain and indeterminate information. Information measures such as distance measures, similarity measures and entropy measures are very useful tools to be used in many ...
Jiajia Chai +6 more
semanticscholar +1 more source
Medical Diagnosis Using Distance-Based Similarity Measures of Single Valued Neutrosophic Multisets [PDF]
Neutrosophic Sets and Systems, 2015 This paper proposes a generalized distance measure and its similarity measures between single valued neutrosophic multisets (SVNMs). Then, the similarity measures are applied to a medical diagnosis problem with incomplete, indeterminate and inconsistent ...
Shan Ye, Jing Fu, Jun Ye
doaj
A mathematical framework for combining decisions of multiple experts toward accurate and remote diagnosis of malaria using tele-microscopy. [PDF]
, 2012 We propose a methodology for digitally fusing diagnostic decisions made by multiple medical experts in order to improve accuracy of diagnosis. Toward this goal, we report an experimental study involving nine experts, where each one was given more than 8 ...
Dimitrov, Stoyan +6 more
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, 2017 This chapter presents advances in aptamer selection technologies and the main formats of biosensors, which were frequently employed in aptasensor development. It discusses the state of aptamers, as applied to medical diagnosis for specifically cancer and diagnosis or pathogenic microorganisms.
Özalp, Veli Cengiz +3 more
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