Impact of Interstitial Lung Diseases and COVID-19 on the body
4th International Conference on Communication, Information and Computing Technology, ICCICT 2021
; 2021.
Article
in English
| Scopus | ID: covidwho-1709709
ABSTRACT
Medical imaging techniques are often used in treatment and follow-ups for diagnosed diseases. Image scans provide quick acquisition of images and clear and precise information, along with a magnified view of a particular portion of the body. Chest images can demonstrate various lung disorders, such as, COVID-19, Interstitial Lung Diseases (ILD) and Chronic lung disease, Pneumonia, Bronchiectasis, Cystic Fibrosis, etc. However, subtle changes in the volume and character of lung abnormalities can be difficult to assess even by expert radiologists. This is where Artificial Intelligence (AI) comes in. AI can aid traditional medical imaging technology by offering computational prowess that process images with greater speed and precision. This work presents a solution that performs AI-empowered analysis of Chest image scans for diagnosis, tracking and prognosis of various lung diseases. © 2021 IEEE
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Language:
English
Journal:
4th International Conference on Communication, Information and Computing Technology, ICCICT 2021
Year:
2021
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS