Artificial Intelligence Unveils the Unseen: Mapping Novel Lung Patterns in Bronchiectasis via Texture Analysis

Artificial Intelligence Unveils the Unseen: Mapping Novel Lung Patterns in Bronchiectasis via Texture Analysis

<b>Background and Objectives:</b> Thin-section CT (TSCT) is currently the most sensitive imaging modality for detecting bronchiectasis. However, conventional TSCT or HRCT may overlook subtle lung involvement such as alveolar and interstitial changes. Artificial Intelligence (AI)-based an...

Full description

Saved in:
Bibliographic Details
Main Authors: Athira Nair, Rakesh Mohan, Mandya Venkateshmurthy Greeshma, Deepak Benny, Vikram Patil, SubbaRao V. Madhunapantula, Biligere Siddaiah Jayaraj, Sindaghatta Krishnarao Chaya, Suhail Azam Khan, Komarla Sundararaja Lokesh, Muhlisa Muhammaed Ali Laila, Vadde Vijayalakshmi, Sivasubramaniam Karunakaran, Shreya Sathish, Padukudru Anand Mahesh
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Diagnostics
Subjects:
bronchiectasis
IMBIO
lung texture analysis
alveolar
Online Access:https://www.mdpi.com/2075-4418/14/24/2883
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2075-4418/14/24/2883

Similar Items