Deep learning-assisted survival prognosis in renal cancer: A CT scan-based personalized approach-Reference-Cited by-同舟云学术

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Deep learning-assisted survival prognosis in renal cancer: A CT scan-based personalized approach

Published:2024-01 Issue:2 Volume:10 Page:e24374
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Mahootiha Maryamalsadat^ORCID,Qadir Hemin Ali,Aghayan Davit^ORCID,Fretland Åsmund Avdem^ORCID,von Gohren Edwin Bjørn^ORCID,Balasingham Ilangko

Publisher

Elsevier BV

Reference54 articles.

1. Global cancer statistics 2020: globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA Cancer J. Clin.,2021

2. Surgical treatment of kidney tumors–contemporary trends in clinical practice;Hora;Central Europ. J. Urol.,2016

3. A phase 1b clinical trial of the multi-targeted tyrosine kinase inhibitor lenvatinib (e7080) in combination with everolimus for treatment of metastatic renal cell carcinoma (rcc);Molina;Cancer Chemother. Pharmacol.,2014

4. Dovitinib versus sorafenib for third-line targeted treatment of patients with metastatic renal cell carcinoma: an open-label, randomised phase 3 trial;Motzer;Lancet Oncol.,2014

5. The international society of urological pathology (ISUP) grading system for renal cell carcinoma and other prognostic parameters;Delahunt;Am. J. Surg. Pathol.,2013

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