Purpose: This study aims to develop an autonomous robotic ultrasound scanning system (auto-RUSS) pipeline, comparing its reproducibility and observer consistency in image analysis with physicians of ...

The study analysed 1864 whole slide images of ovarian carcinoma and involved a comparison of three ImageNet-pretrained encoders and fourteen foundation models. The study’s most impressive results came ...

ASCO Guidelines follow the ASCO Conflict of Interest Policy for Clinical Practice Guidelines. To provide updated guidance regarding neoadjuvant chemotherapy (NACT) and primary cytoreductive surgery ...

Axillary lymph node metastasis from ovarian cancer is extremely rare and the mechanism is still unclear. Methods: A comprehensive set of clinical and gynecologic oncology assessments were performed, ...

In this study, we propose the first decentralized learning solution for joint learning with breast ultrasound video and image, called FedBCD. To enable the model to learn from images and videos ...

Main Finding: AI-based models may enhance the clinical detection of ovarian cancer by supporting ultrasound analysis. Concept: Transformer-based models trained on data from retrospective multicenter ...