Titlebook: Data Engineering and Intelligent Computing; Proceedings of ICICC Vikrant Bhateja,Suresh Chandra Satapathy,V. N. Man Conference proceedings

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Automated Microaneurysms Detection in Fundus Images for Early Diagnosis of Diabetic Retinopathy,sm is a common sign of diabetic retinopathy, which appears as a red lesion in the fundus image. This paper deals with the classification of microaneurysms and non-microaneurysms. The proposed work follows four steps, specifically pre-processing, candidate extraction, extraction of texture features f

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Plant Health Report Through Advanced Convolution Neural Network Methodology,e detection in plants for effective development of the plant health monitoring system for farm fields. ?It is possible to obtain the pattern of a specific disease and the characteristics of a deficiency using the?Convolution Neural Network (CNN) algorithm, which employs approximately 128 filters; th

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Pediatric Skeletal Age Assessment Using Deep Learning Proceedings, is normal or delayed compared to the patient’s chronological age (CA). A delayed or advanced bone age can indicate growth disorders. It is generally performed by using either the Greulich & Pyle (G&P) method or the Tanner–Whitehouse (TW) method. However, inter- and intra-observer differences occur

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Histopathological Image Classification Using Deep Neural Networks with Fine-Tuning,issue subtypes, but it has many challenges like complexity of image, labeled data availability. Overcoming these challenges and accurately classifying the images require better approach than traditional one. In this work, we use fine-tuning-based deep neural network in classifying the histopathologi

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