Titlebook: Computer Vision and Image Processing; 7th International Co Deep Gupta,Kishor Bhurchandi,Sanjeev Kumar Conference proceedings 2023 The Edito

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Working with Forms and Validators automated classification algorithms using deep convolutional neural network (DCNN) models have been proposed, the need for performance improvement remains. The key limitations of developing a robust DCNN model for the dermoscopic image classification are (a) sub-sampling or pooling layer in traditi

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Starting the SimpleSite Tutorialng to WHO statistics, India is one of the developing countries with highest prevalence of anaemia. Conventional invasive methods are cost-prohibitive and difficult to administer globally which essentially demands non-invasive, accurate, and low-cost approaches for screening of anaemia. The current w

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Working with Forms and Validatorsclassification which are trained for non-medical image classification.Thus, there is a need for re-training and feature enhancement for better performance in medical image classification. In this paper, we have proposed a residual multi-head attention network to uplift the re-training process with p

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The Web Server Gateway Interface (WSGI)es because of the structure similarity of many plant species. So, automated spinach recognition will support the people community to a greater extent. In this study, we present spinach dataset, a freely accessible annotated collection of images of spinach leaves in Indian scenario. We propose three