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Titlebook: Atlas of Advanced Endoscopy; Yasushi Sano,Philip Chiu,Chikatoshi Katada Book 2024 The Editor(s) (if applicable) and The Author(s), under e

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Springer Professional Computing visibility of lesions by improving three vital image factors inherent to white light imaging (WLI): (1) brightness in dark areas; (2) texture, such as subtle surface changes; and (3) color, including slight color variations in the image. To achieve this, TXI applies image processing technology base
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Theo Drane,M. V. Achutha Kiran Kumar an image enhancement technique that forms contrast of deep tissue and blood vessels and is expected to be used more widely in the future. In this chapter, we will describe the principle of RDI and its clinical applications.
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Mahendra Kumar Murmu,Awadhesh Kumar Singhnt focus has been the integration of AI in medical imaging. In particular, systems referred to as computer-aided detection and diagnosis (CADe and CADx) have demonstrated considerable promise in the realm of gastrointestinal endoscopy. These systems employ AI to aid endoscopists in identifying abnor
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Meike Klettke,Bernhard Thalheim(ER) because the rate of lymph node metastasis increases in proportion to the invasion depth of the carcinoma. Previous studies have shown a close relationship between microvascular patterns observed by magnifying endoscopy and invasion depth of the superficial carcinoma. Although there were two maj
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Handbook of Conceptual Modeling(EAC), of which the 5-year overall survival rate is a dismal 17% [1, 2]. International guidelines have recommended endoscopic surveillance for patients with BE to detect early dysplasia [3, 4]. Endoscopic surveillance is typically performed with high-definition white light imaging (WLI) with quadran
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