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Tumor morphology evaluation using 3D-morphometric features of renal masses.

Fiev DmitrySirota EvgeniyKozlov VasiliyProskura AlexandraIsmailov KhalilShpot EvgenyChernenkiy MikhailPuzakov KirillTarasov AlexanderDmitry Olegovich KorolevAzilgareeva CamillaVinarov AndreyButnaru DenisGlybochko PetrRapoport Leonid
Published in: Urologia (2024)
The resulting logistic model, based on the analysis of such predictors as gender and form of kidney lesions, demonstrated a large share (87.6%) of correct predictions of the kidney tumor malignancy.
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