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Background and aims
Endoscopic diagnosis of early esophageal squamous cell cancer (ESCC) is complicated and dependent on operators' experience. This study aimed to develop an artificial intelligence (AI) model for automatic diagnosis of early ESCC.
Methods
Non‐magnifying and magnifying endoscopic images of normal/noncancerous lesions, early ESCC, and advanced esophageal cancer (AEC) were retrospectively...
Diabetic retinopathy (DR) is one of the leading causes of blindness worldwide, and the limited availability of qualified ophthalmologists restricts its early diagnosis. For the past few years, artificial intelligence technology has developed rapidly and has been applied in DR screening. The upcoming technology provides support on DR screening and improves the identification of DR lesions with a high...
Temporal violations may often take place and deteriorate the overall QoS of scientific workflows. To handle temporal violations in an automatic and cost-effective fashion, we need to resolve the following issues: 1) how to define fine-grained recoverable temporal violations, 2) which light-weight effective exception handling strategies to be facilitated. This paper proposes an effective exception...
Due to the complex nature of scientific workflow systems, the violations of temporal QoS constraints often take place and may severely affect the usefulness of the execution’s results. Therefore, to deliver satisfactory QoS, temporal violations need to be recovered effectively. However, there are two fundamental issues which have so far not been well addressed: how to define recoverable temporal violations,...
For the problem of rock burst, which seriously influences the security of mines at present, the text concludes the predicting researches and summarizes the representative characteristic parameters of acoustic emission and the characteristic parameters of attribute rock. On such a base these parameters are adopted to establish the predicted model for rock burst which is based on the fuzzy logic ore...
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