TY  - GEN 
AU  - Rodríguez Corral, José María
AU  - Civit-Masot, Javier
AU  - Luna Perejón, Francisco
AU  - Díaz Cano, Ignacio
AU  - Morgado Estévez, Arturo
AU  - Domínguez-Morales, Manuel
A4  - Ingeniería en Automática, Electrónica, Arquitectura y Redes de Computadores
A4  - Ingeniería Informática
PY  - 2023
SN  - 0952-1976
UR  - http://hdl.handle.net/10498/29609
AB  - In this work, we evaluate the energy usage of fully embedded medical diagnosis aids based on both segmentation and classification of medical images implemented on Edge TPU and embedded GPU processors. We use glaucoma diagnosis based on color fundus...
LA  - eng
KW  - Edge TPU
KW  - embedded accelerated systems
KW  - energy efficiency
KW  - GPU
KW  - medical diagnostic aids
TI  - Energy efficiency in Edge TPU vs. embedded GPU for computer-aided medical imaging segmentation and classification
ER  -