Academic radiologyHumansFemaleDeep LearningBreast NeoplasmsUltrasonography
Comparative Evaluation of Advanced Deep Learning, Image-to-Text Models, and Radiomics for Predicting Tumor Budding and Tumor-Stroma Ratio from Breast Ultrasound in Invasive Ductal Carcinoma.
Esat Kaba, Murat Tören, Berkutay Asan, Yusuf Çubukçu, Göktürk Öztürk, Oğuzhan Okcu, Çiğdem Öztürk, Safiye Sümeyye Çubukçu, Recep Sencer Cinoğlu, Ersan Özer, Fatma Beyazal Çeliker, Nur Hürsoy
Published: 202610.1016/j.acra.2025.10.020
Abstract
RATIONALE AND OBJECTIVES: This study aimed to predict tumor budding (TB) and tumor-stromal ratio (TSR), which are important parameters of the tumor microenvironment in invasive ductal carcinoma, from preoperative ultrasound images. To this end, image…
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