卷积神经网络在医学图像理解中的应用

Megha Upreti, Chitra Pandey, A. Bist, Buphest Rawat, Marviola Hardini
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引用次数: 3

摘要

在社交媒体时代,图片扮演着至关重要的角色。Facebook, whatsapp, instagram现在到处都是我们看到的图片。随着社交媒体的发展,图片在医学科学中发挥着非常重要的作用。医学影像可以辅助诊断、临床治疗和教学任务。传统的图像分类由于耗时、提取、选择、分类等问题,已经走到了尽头。这个问题是在CNN(卷积神经网络)的帮助下解决的。在医学科学中,我们可以治疗以前没有的身体异常。使用CNN的深度学习模型,我们可以检测癌症、肺部感染等疾病并进行治疗。本文旨在全面概述cnn在医学图像理解中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Convolutional Neural Networks in Medical Image Understanding
In the era of social media images/pictures play a vital  role. Facebook, whatsapp, instagram everywhere we see a lot of  pictures nowadays. Along with social media, the pictures play a  very important role in medical science. Medical Image can help  in diagnosis, clinical treatment and teaching tasks. Traditional  classification of images has reached an end because of its time  taking nature and efforts made to extract, select and classify . This problem is solved with the help of CNN(Convolutional neural network).In medical science we have treatment for body  anomalies that were not there before .Using the deep learning  models of CNN we can detect the disease like Cancer ,Lung  Infection and treat it. This article aims to provide a  comprehensive survey of applications of CNNs in medical image  understanding.
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