10 research outputs found

    Deep Learning in Medical Image Analysis

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    The accelerating power of deep learning in diagnosing diseases will empower physicians and speed up decision making in clinical environments. Applications of modern medical instruments and digitalization of medical care have generated enormous amounts of medical images in recent years. In this big data arena, new deep learning methods and computational models for efficient data processing, analysis, and modeling of the generated data are crucially important for clinical applications and understanding the underlying biological process. This book presents and highlights novel algorithms, architectures, techniques, and applications of deep learning for medical image analysis

    The radiological investigation of musculoskeletal tumours : chairperson's introduction

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    Libro de actas. XXXV Congreso Anual de la Sociedad Española de Ingeniería Biomédica

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    596 p.CASEIB2017 vuelve a ser el foro de referencia a nivel nacional para el intercambio científico de conocimiento, experiencias y promoción de la I D i en Ingeniería Biomédica. Un punto de encuentro de científicos, profesionales de la industria, ingenieros biomédicos y profesionales clínicos interesados en las últimas novedades en investigación, educación y aplicación industrial y clínica de la ingeniería biomédica. En la presente edición, más de 160 trabajos de alto nivel científico serán presentados en áreas relevantes de la ingeniería biomédica, tales como: procesado de señal e imagen, instrumentación biomédica, telemedicina, modelado de sistemas biomédicos, sistemas inteligentes y sensores, robótica, planificación y simulación quirúrgica, biofotónica y biomateriales. Cabe destacar las sesiones dedicadas a la competición por el Premio José María Ferrero Corral, y la sesión de competición de alumnos de Grado en Ingeniería biomédica, que persiguen fomentar la participación de jóvenes estudiantes e investigadores

    Infective/inflammatory disorders

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    Clamp-assisted retractor advancement for lower eyelid involutional entropion

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    Scientific Poster 144PURPOSE: To describe a novel approach to internal repair of lower lid entropion using the Putterman clamp. METHODS: Retrospective, consecutive case series of patients with entropion who underwent retractor advancement using the clamp. RESULTS: Seven eyes of 6 patients (average age: 80; 4 women and 2 men) were analyzed. Complete resolution was achieved in 5 of the 6 patients (83.3%). The 1 patient with recurrence had 2 previous entropion surgeries on each eye over the past 4 years; there was lid laxity, and horizontal tightening was needed. No severe adverse events occurred in the patients. CONCLUSION: Clamp-assisted lower lid retractor advancement offers a safe and effective, minimally invasive approach to involutional entropion. Further study is needed to assess its role in recurrent entropion.postprin
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