However, these changes do not fully occur in ovarian carcinoma, and are even reversed in tumor cells present in malignant peritoneal and pleural effusions. This review summarizes current knowledge in ...

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 ...

Learn More Causes and Risk Factors of Ovarian Cancer How is ovarian cancer detected? Ovarian cancer may be detected with a pelvic exam, but it might be too small to identify with this method. Imaging, ...

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 ...

Introduction: Accurate contour extraction in ultrasound images is of great interest for image-guided organ interventions and disease diagnosis. Nevertheless, it remains a problematic issue owing to ...

Our initial paper is presented in Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition which has been accepted in MICCAI 2023. Compared with the initial version which ...

Abstract: This article introduces a robust deep feature ultrasound image-based visual servoing (UIBVS) technique for an ultrasound robot focusing on automatic cardiac examination. To this end, a ...

The completion of a new drug application for the combination of avutometinib and defactinib in KRAS-mutant ovarian cancer is expected to be finalized with the FDA by the end of the month.

UVA Health's Melanie Rutkowski, PhD, and her team are expanding our understanding of the microbiome and how it influences diseases such as breast and ovarian cancer. May be used to accompany news ...

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 ...