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Detection and Classification of Histopathological Breast Images Using a Fusion of CNN Frameworks-based approaches have demonstrated impressive performance. In this research, three different types of CNN models
Ethical Aspects of Coverage of the Armed Conflict in Gaza in the International Media: RT and CNN as a Model the extent to which international media outlets, especially RT and CNN, adhere to professional media
ИССЛЕДОВАНИЕ МЕТОДОВ ДЛЯ РАСПОЗНАВАНИЯ И АНАЛИЗА ОБЪЕКТОВ НА МРТ - СНИМКАХ С ПОМОЩЬЮ НЕЙРОННОЙ СЕТИ neural network (CNN). Experimental results have shown that the models achieve up to 97.8% accuracy
Computer-aided cholelithiasis diagnosis using explainable convolutional neural network introduced in the literature, their use is limited because Convolutional Neural Network (CNN) models
Traffic sign detection and problems in the field of computer vision limit superclasses of traffic sign. R-CNN deep
learning detector is a simple and suitable model
Detection of cardiac arrhythmia based on the analysis of electrocardiogram using deep learning models of different types of cardiac rhythm. We propose an electrocardiogram classifier model, which is an ensemble
Применение сверточных нейронных сетей для обнаружения и распознавания изображений на основе самописного генератораR-CNN model
Convolutional neural network with semantically meaningful activations for speech analysis solution. To overcome this we propose to develop a CNN
model with semantically meaningful activations i
Improved Breast Cancer Classification through Combining Transfer Learning and Attention Mechanism histopathological image classification. It leverages modified pre-trained CNN models and attention mechanisms
Analysis of the basic neural network approaches to the problem of the instance segmentationThis paper reviews two popular neural network models for performing instance segmentation
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