Aptisi Transactions on Technopreneurship (ATT)
Vol 3 No 2 (2021): September

Convolutional Neural Networks in Medical Image Understanding

Upreti, Megha (Unknown)
Pandey, Chitra (Unknown)
Bist, Ankur Singh (Unknown)
Rawat, Buphest (Unknown)
Hardini, Marviola (Unknown)



Article Info

Publish Date
01 Sep 2021

Abstract

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.

Copyrights © 2021






Journal Info

Abbrev

att

Publisher

Subject

Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

Description

APTISI Transactions on Technopreneurship (ATT) is an international triannual open access scientific journal published by  Pandawan Sejahtera Indonesia. ATT publishes original scientific researchers from scholars and experts around the world with novelty based on the theoretical, experimental, ...