International Conference

Permanent URI for this collectionhttps://dspace.psgrkcw.com/handle/123456789/151

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Start date: 2020End date: 2022

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    DIABETIC RETINOPATHY LESIONS IDENTIFICATION IN THE COLOR FUNDUS IMAGES USING MULTI-LAYER PERCEPTRON
    (IEEE, 2022-03-25) Geethalakshmi K; Meenakshi V.S
    The prognosis of Diabetic Retinopathy (DR) is characterized by Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR). The early stage of DR is known as NPDR. Detecting NPDR in the early stage becomes crucial to avoid blindness. The purpose of this study is to perceive NPDR lesions using image processing techniques and classification methods. The detection of lesions is carried out by pre-processing, feature extraction, feature vector construction, and classification. The vessel network is extracted for feature extraction in the pre-processing stage. Apart from the regular statistical image features, the color layer features are extracted from the smoothened input image. A clustering-based feature extraction method is introduced to capture features from each color layer. The filtered features, which produce the desired output, are combined and fed into Multi-Layer Perceptron (MLP) classifier. The proposed algorithm achieves 100% accuracy in detecting DR. Hence, this study shows that the proposed method can able to find the DR lesions in the early stage itself.
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    SMART HOSPITAL MANAGEMENT USING IOT
    (Sri Ramakrishna College of Arts and Science for Women, 2020-02-29) Kavitha S
    A worldwide network of Internet of Things (IOT) is going to be the future network, which connects objects of different application fields, functionality and technology. These objects are uniquely addressable and use standard communication protocol and communicate in a heterogeneous networking environment. This study discusses with the implemented real-world scenario of smart autonomous hospital management with the IOT and aims at explaining in detail the technology drivers behind the IOT and health care with the information on data modelling of medical devices, data validation of critical incident data, data mapping of existing IOT data into different other associated system data, workflow or the process flow behind the technical operations of the remote device coordination, the architecture of network, middleware, databases, application services. The challenges and the associated solution in this field are discussed