Matteo Bulloni (Author), Giada Sandrini (Author), Irene Stacchiotti (Author), M. Barberis (Author), Fiorella Calabrese (Author), Lina Carvalho (Author), Gabriella Fontanini (Author), Greta Alì (Author), Francesco Fortarezza (Author), Paul Hofman (Author), Izidor Kern (Author)

Abstract

Automated analysis of proliferating cells spatial organisation predicts prognosis in lung neuroendocrine neoplasms

Keywords

pljučni rak;nevroendokrine novotvorbe;lung cancer;neuroendocrine neoplasms;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Publisher: MDPI
UDC: 616-006
COBISS: 80161795 Link will open in a new window
ISSN: 2072-6694
Views: 359
Downloads: 130
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary keywords: Neuroendocrine tumors;Lung neoplasms;Carcinoma;Prognosis;Pathology;Histology;Ki-67 antigen;Machine learning;Image enhancement;Nevroendokrini tumorji;Pljučne novotvorbe;Karcinom;Prognoza;Patologija;Histologija;Antigen Ki-67;Strojno učenje;Izboljšava slike;
Source comment: Nasl. z nasl. zaslona; Soavtor iz Slovenije: Izidor Kern; Opis vira z dne 12. 10. 2021;
Pages: str. 1-19
Volume: ǂVol. ǂ13
Issue: ǂiss. ǂ19
Chronology: Oct. 2021
DOI: 10.3390/cancers13194875
ID: 13668082