[C3] Deep Learning and its Benefits in Prediction of Patients Through Medical Images

CONFERENCE PUBLICATION

[C3] Deep Learning and its Benefits in Prediction of Patients Through Medical Images

Abstract

The ability to comprehend the medical images and make prediction on diseases, significantly depends on any medical doctors' experiences. In the wireless medical communications, this process is not developing effectively, and significant tasks are required to make it of high accuracy. Hence, advanced methods are required for accurately diagnosing the various diseases and in the shortest time. Use of deep learning techniques can be a proper solution due to their suitable accuracy in the image segmentation giving rise to pathologic prediction by considering the medical images. In this paper, we employ the deep neural network for predicting the various cysts that can be exist in the human's brain. This intelligent method can estimate and predict the types of brain cysts by the provided medical images. The experimental results demonstrate the well-performance of the presented method to be used for predicting the patients with affections by the help of scanned medical images.

Keywords

Brain cysts, classification, deep neural network (DNN), disease, medical images, prediction

Published In: 2021 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)

Date:

2021-12-16

Location:

Washington, DC, USA

DOI:

10.1109/CHASE52844.2021.00033

How to cite:

L. Kouhalvandi, L. Matekovits and I. Peter, "Deep Learning and its Benefits in Prediction of Patients Through Medical Images," 2021 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2021, pp. 139-142, doi: 10.1109/CHASE52844.2021.00033.