ISSN:2582-5208

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Paper Key : IRJ************145
Author: Gauri Parvathy
Date Published: 27 Oct 2023
Abstract
Deep learning is a branch of machine learning that extracts complex features from data. Deep learning has emerged as an effective alternative to traditional machine learning methods in the field of medical imaging. Convolutional neural networks (CNNs) have excelled in medical image classification tasks.Most medical imaging applications of DL use supervised learning or a mix of both..Neural networks have evolved over time, with convolutional, pooling, fully connected, activation, normalization, dropout, and up sampling layers being common layers. Convolutional neural networks (CNNs) have become a prominent solution approach in illness detection due to the disparities between virus-infected and uninfected individuals. Deep learning has proven effective in addressing common challenges in medical imaging, such as disease detection, prognosis, automatic tumor detection, and image reconstruction. CNN has particularly excelled in image classification tasks, such as pneumonia identification from X-rays.
DOI LINK : 10.56726/IRJMETS45588 https://www.doi.org/10.56726/IRJMETS45588
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