Scalable Medical Image Understanding by Fusing Cross-Modal Object Recognition with Formal Domain Semantics

2008 ◽  
pp. 390-401 ◽  
Author(s):  
Manuel Möller ◽  
Michael Sintek ◽  
Paul Buitelaar ◽  
Saikat Mukherjee ◽  
Xiang Sean Zhou ◽  
...  
Keyword(s):  
Object Recognition ◽  
Medical Image ◽  
Image Understanding ◽  
Domain Semantics ◽  
Medical Image Understanding

Medical Image Understanding System

1996 ◽  
Vol 29 (7) ◽  
pp. 179-184
Author(s):  
Tatjana Zrimec ◽  
Claude Sammut
Keyword(s):  
Medical Image ◽  
Image Understanding ◽  
Medical Image Understanding

scholarly journals Convolutional Neural Networks in Medical Image Understanding

2021 ◽  
Vol 3 (2) ◽  
pp. 6-12
Author(s):  
Megha Upreti ◽  
Chitra Pandey ◽  
Ankur Singh Bist ◽  
Buphest Rawat ◽  
Marviola Hardini
Keyword(s):  
Social Media ◽  
Medical Image ◽  
Medical Science ◽  
Image Understanding ◽  
Vital Role ◽  
Traditional Classification ◽  
Comprehensive Survey ◽  
Classification Of Images ◽  
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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