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- W4304166688 abstract "For medical image processing analysis, deep learning is one of the most popular research subjects. It is subset of machine learning comprising of one or more neural network layers to simulate human behavior of learning and predicting. The purpose of this work is to investigate the application of deep learning models in image processing for disease analysis and medical innovations. The work showcased a generic deep learning model based on convolutional neural networks to classify diseases upon image analysis. To demonstrate the extensive medical use case of proposed model, the results demonstrated classifying pneumonia x-ray images alongside normal chest x-ray images, wrist r-ray pictures able to distinguish between normal and fractured wrists, etc." @default.
- W4304166688 created "2022-10-11" @default.
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- W4304166688 date "2022-10-12" @default.
- W4304166688 modified "2023-10-14" @default.
- W4304166688 title "A Comprehending Deep Learning Approach for Disease Classification" @default.
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- W4304166688 doi "https://doi.org/10.1007/978-981-19-5845-8_9" @default.
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