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grignaffini.1658919@studenti.uniroma1.it
Flavia Grignaffini
Dottorando
Struttura:
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE, ELETTRONICA E TELECOMUNICAZIONI
E-mail:
grignaffini.1658919@studenti.uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
The Use of Artificial Intelligence in the Liver Histopathology Field: A Systematic Review
DIAGNOSTICS
2024
The use of Artificial Intelligence in liver histopathology field: a systematic review
DIAGNOSTICS
2024
A comparative analysis of machine learning algorithms for identifying cultural and technological groups in archaeological datasets through clustering analysis of homogeneous data
ELECTRONICS
2024
Computer-aided diagnosis systems for automatic malaria parasite detection and classification: a systematic review
ELECTRONICS
2024
An XAI Approach to Melanoma Diagnosis: Explaining the Output of Convolutional Neural Networks with Feature Injection
INFORMATION
2024
Comparison Between Two Artificial Intelligence Models to Discriminate Cancerous Cell Nuclei Based on Confocal Fluorescence Imaging in Hepatocellular Carcinoma
DIGESTIVE AND LIVER DISEASE
2024
Anomaly Detection for Skin Lesion Images Using Convolutional Neural Network and Injection of Handcrafted Features: A Method That Bypasses the Preprocessing of Dermoscopic Images
ALGORITHMS
2023
Machine-Learning Assisted Detection of Cancerous Cell Nuclei Based on Confocal Imaging and Fluorescent Probes in Hepatocellular Carcinoma
Proc. Annual Meeting Alleanza Contro il Cancro (ACC)
2023
Accurate classification of liver nuclei based on AI models for diagnostic support of hepatocellular carcinoma
DIGESTIVE AND LIVER DISEASE
2022
Machine Learning Approaches for Skin Cancer Classification from Dermoscopic Images: A Systematic Review
ALGORITHMS
2022
Melanoma detection by non-specialists: an untapped potential for triage?
DIAGNOSTICS
2022
Gruppi di ricerca
Applicazioni dell'intelligenza artificiale alle immagini biomediche e alla diagnostica medica
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