Filippo Fraggetta
Overview
Explore the profile of Filippo Fraggetta including associated specialties, affiliations and a list of published articles.
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Articles
137
Citations
1111
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Recent Articles
1.
Zannoni G, Angelico G, Spadola S, Bragantini E, Troncone G, Fraggetta F, et al.
Gynecol Oncol
. 2025 Feb;
194:1-10.
PMID: 39919553
Ovarian carcinoma, the second most common gynecological cancer in Western countries, is frequently diagnosed at advanced stages, necessitating complex treatment strategies. While cytoreductive surgery remains the standard for improving survival,...
2.
Cazzaniga G, Caputo A, LImperio V, Gibilisco F, Scotto M, Pennisi O, et al.
Pathologica
. 2025 Jan;
116(5):285-294.
PMID: 39748710
Objective: Stain normalization is a technique used to standardize the color appearance of digital whole slide images (WSIs). This study aimed to assess the impact of digital stain normalization on...
3.
Pepe P, Pepe L, Fiorentino V, Curduman M, Fraggetta F
Arch Ital Urol Androl
. 2024 Dec;
96(4):12992.
PMID: 39692414
Introduction: To evaluate the detection rate for prostate cancer (PCa) performing multiparametric magnetic resonance imaging (mpMRI) fusion targeted biopsy (TPBx) combined only with ipsilateral systematic prostate biopsy (SPBx). Materials And...
4.
Pepe P, Pepe L, Fiorentino V, Curduman M, Pennisi M, Fraggetta F
In Vivo
. 2024 Oct;
38(6):2880-2885.
PMID: 39477430
Background/aim: This study aimed to evaluate the diagnostic accuracy of prostate-specific membrane antigen (PSMA)-directed positron emission tomography/computed tomography (PET/CT) in pelvic nodal staging, using postoperative histopathology data as the reference...
5.
Cazzaniga G, Del Carro F, Eccher A, Becker J, Gambaro G, Rossi M, et al.
J Imaging Inform Med
. 2024 Sep;
PMID: 39231887
The development of reliable artificial intelligence (AI) algorithms in pathology often depends on ground truth provided by annotation of whole slide images (WSI), a time-consuming and operator-dependent process. A comparative...
6.
Salto-Tellez M, Eloy C, Laurinavicius A, Fraggetta F
Histopathology
. 2024 Aug;
85(4):562-565.
PMID: 39210586
What will be the next disruptive technology that will change pathology's routine practice again? In this editorial we make a case for the need of more complex biomarkers in oncology...
7.
Marini N, Marchesin S, Wodzinski M, Caputo A, Podareanu D, Guevara B, et al.
Med Image Anal
. 2024 Aug;
97:103303.
PMID: 39154617
The increasing availability of biomedical data creates valuable resources for developing new deep learning algorithms to support experts, especially in domains where collecting large volumes of annotated data is not...
8.
Zannoni G, Santoro A, Arciuolo D, Travaglino A, Angelico G, Bragantini E, et al.
Gynecol Oncol
. 2024 Jul;
189:98-100.
PMID: 39068740
No abstract available.
9.
Ciaparrone C, Maffei E, LImperio V, Pisapia P, Eloy C, Fraggetta F, et al.
Cytopathology
. 2024 Jun;
35(5):634-641.
PMID: 38894608
Recent advancements in computer-assisted diagnosis (CAD) have catalysed significant progress in pathology, particularly in the realm of urine cytopathology. This review synthesizes the latest developments and challenges in CAD for...
10.
Bindi G, Pagani L, Ceku J, de Oliveira G, Porto N, Monza N, et al.
J Proteome Res
. 2024 Jun;
23(7):2542-2551.
PMID: 38869849
The application of innovative spatial proteomics techniques, such as those based upon matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) technology, has the potential to impact research in the field of...