Prediction of In Vivo Laser-Induced Thermal Damage with Hyperspectral Imaging Using Deep Learning

Prediction of In Vivo Laser-Induced Thermal Damage with Hyperspectral Imaging Using Deep Learning

Thermal ablation is an acceptable alternative treatment for primary liver cancer, of which laser ablation (LA) is one of the least invasive approaches, especially for tumors in high-risk locations. Precise control of the LA effect is required to safely destroy the tumor. Although temperature imaging...

Full description

Bibliographic Details
Main Authors: Martina De Landro, Eric Felli, Toby Collins, Richard Nkusi, Andrea Baiocchini, Manuel Barberio, Annalisa Orrico, Margherita Pizzicannella, Alexandre Hostettler, Michele Diana, Paola Saccomandi
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Sensors
Subjects:
convolutional neural network
deep learning
hyperspectral imaging
infrared imaging
in vivo experiments
laser ablation
Online Access:https://www.mdpi.com/1424-8220/21/20/6934

Similar Items

Similar Items