Research Presentation Sessions: Genitourinary
RPS 1507 - AI in genitourinary imaging: will it improve your performance?
Lectures
1
Predicting the recurrence risk of renal cell carcinoma after nephrectomy: potential role of CT radiomics for adjuvant treatment decisions
07:00Dominik Deniffel, Munich / DE
2
Radiomics analysis on CT images for evaluation of kidney function in ADPKD
07:00Carla Cipri, Rome / IT
3
The role of radiomics analysis in the assessment of renal nodules on CT
07:00Alice Zannotti, Cupramontana / IT
4
Deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI
07:00Erik Thimansson, Helsingborg / SE
5
Development of radiomic models for improving the detection of clinically significant cancers among PI-RADS 4 and 5 lesions detected on 3T multiparametric MRI studies
07:00Pietro Andrea Bonaffini, Monza / IT
6
Deep learning algorithm for tumour segmentation and classification of aggressiveness in patients with prostate cancer
07:00Sujin Hong, Busan / KR
7
External validation of a radiomics model for the assessment of extraprostatic extension (EPE) of prostate cancer (PCa)
07:00Gloria Giacomelli, Fano / IT
8
Prediction of clinically significant prostate cancer in patients under active surveillance: performance of a fully-automated AI-algorithm for lesion detection and classification
07:00Benedict Oerther, Freiburg / DE
9
Computed tomography image-based radiomic analysis helps differentiate ovarian clear-cell carcinoma from other types of epithelial ovarian cancer
07:00Jing Ren, Beijing / CN
10
CT radiomics model to predict platinum sensitivity in epithelial ovarian carcinoma
07:00Mengge He, Hong kong / CN
11
MRI- and histologic-molecular-based radiogenomics nomogram for preoperative assessment of risk classes in endometrial cancer
07:00Veronica Celli, Rome / IT
12
Moderation
00:00Renato Cuocolo, Napoli / IT