RPS 1216 - New perspectives in breast and gynaecological cancer

Prognostic role of Whole-body MRI (WB-MRI) in patients with metastatic breast cancer receiving systemic anti-cancer therapy

Dual-energy CT machine learning model to characterize lymph nodes in patients with breast cancer

Associations between ADC histogram analysis values and tumor-micro milieu in uterine cervical cancer

Predictive Value of Interim PET/MRI Parameters in Cervical Cancer Patients Undergoing Image-Guided Adaptive Brachytherapy

Low-dose pre-operative CT of ovarian tumor with artificial intelligence iterative reconstruction for diagnosing peritoneal invasion

Diagnostic Accuracy Of Automated Breast Ultrasound (ABUS) In Comparison With Different Breast Imaging Modalities In Evaluation Of Breast Lesions

Developing a machine learning model for the differentiation of uterine leiomyosarcoma from leiomyomas using clinical and MRI radiomics features

Enhancing axillary lymph node diagnosis in breast cancer with a novel photoacoustic imaging-based radiomics nomogram: A comparative study of peritumoral regions