TY  - CONF
AU  - Simone Balocco
AU  - Mauricio Gonzalez
AU  - Ricardo Ñancule
AU  - Petia Radeva
AU  - Gabriel Thomas
A2  - IWAIPR
PY  - 2018//
TI  - Calcified Plaque Detection in IVUS Sequences: Preliminary Results Using Convolutional Nets
T2  - LNCS
BT  - International Workshop on Artificial Intelligence and Pattern Recognition
SP  - 34
EP  - 42
VL  - 11047
KW  - Intravascular ultrasound images
KW  - Convolutional nets
KW  - Deep learning
KW  - Medical image analysis
N2  - The manual inspection of intravascular ultrasound (IVUS) images to detect clinically relevant patterns is a difficult and laborious task performed routinely by physicians. In this paper, we present a framework based on convolutional nets for the quick selection of IVUS frames containing arterial calcification, a pattern whose detection plays a vital role in the diagnosis of atherosclerosis. Preliminary experiments on a dataset acquired from eighty patients show that convolutional architectures improve detections of a shallow classifier in terms of 𝐹1-measure, precision and recall.
UR  - https://link.springer.com/chapter/10.1007%2F978-3-030-01132-1_4
N1  - MILAB; no menciona
ID  - Simone Balocco2018
ER  -