Cecilia Di Ruberto

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Convolutional Neural Network

High Efficiency

Papillary Thyroid

Top Venues

Journal of imaging

This page only lists publications with an associated author ORCID identifier.

Publications

Andrea Loddo, Marco Usai, Cecilia Di Ruberto
Gastric Cancer Image Classification: A Comparative Analysis and Feature Fusion Strategies. Journal of imaging 10 (8) (2024)
Andrea Loddo, Marco Usai, Cecilia Di Ruberto
Gastric Cancer Image Classification: A Comparative Analysis and Feature Fusion Strategies. Journal of imaging 10 (8) (2024)
Andrea Loddo, Marco Usai, Cecilia Di Ruberto
Gastric Cancer Image Classification: A Comparative Analysis and Feature Fusion Strategies. Journal of imaging 10 (8) (2024)
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
On The Potential of Image Moments for Medical Diagnosis. Journal of imaging 9 (3) (2023)
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
On The Potential of Image Moments for Medical Diagnosis. Journal of imaging 9 (3) (2023)
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
On The Potential of Image Moments for Medical Diagnosis. Journal of imaging 9 (3) (2023)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection. Journal of imaging 9 (12) (2023)
Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu
On The Potential of Image Moments for Medical Diagnosis. Journal of imaging 9 (3) (2023)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection. Journal of imaging 9 (12) (2023)
Luca Zedda, Andrea Loddo, Cecilia Di Ruberto
YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection. Journal of imaging 9 (12) (2023)
Andrea Loddo, Corrado Fadda, Cecilia Di Ruberto
An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis. Journal of imaging 8 (3) (2022)
Andrea Loddo, Cecilia Di Ruberto
On the Efficacy of Handcrafted and Deep Features for Seed Image Classification. Journal of imaging 7 (9) (2021)