Confusion matrix of the finetuned model representing predicted classification of high-risk cases.

<p>Each tile displays the percentage and fraction of patients with lower- and higher-risk renal masses (labels 0 and 1, respectively), stratified by the model’s predictions. The values illustrate the model’s capability to distinguish patients who may require adjuvant therapy. Overall, the mode...

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Main Author:	Vesna Barros (13876436) (author)
Other Authors:	Nour Abdallah (21453774) (author), Michal Ozery-Flato (10684974) (author), Avihu Dekel (21453777) (author), Moshiko Raboh (21453780) (author), Nicholas Heller (13147303) (author), Simona Rabinovici-Cohen (21453783) (author), Alex Golts (21453786) (author), Amilcare Gentili (20515670) (author), Daniel Lang (78835) (author), Suman Chaudhary (349511) (author), Varsha Satish (21453789) (author), Resha Tejpaul (3370376) (author), Ivan Eggel (21453792) (author), Itai Guez (21453795) (author), Ella Barkan (21453798) (author), Henning Müller (3266811) (author), Efrat Hexter (21453801) (author), Michal Rosen-Zvi (238425) (author), Christopher Weight (21453804) (author)
Published:	2025
Subjects:	Medicine Biotechnology Marine Biology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified sectional imaging playing recent evidence highlights much larger dataset find relevant relationships based model pretrained accurate noninvasive tools renal cancer prognosis informing renal risk training dataset consisted adjuvant therapy based 000 clinical records transformer </ p adjuvant therapy renal tumors patient risk medical records clinical context xlink "> varying risks underwent partial uk biobank task using support doctors starting point radiographic data promising direction preoperative cross logistic regression interobserver variability important role findings demonstrate computational models complexities encourage
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Confusion matrix of the finetuned model representing predicted classification of high-risk cases.

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