Journal of imaging informatics in medicine
J Imaging Inform Med
· ISSN (e) 2948-2933
· 6 papers in corpus
other
2026
Recent advances in deep learning have shown considerable promise in automating anatomical segmentation for laparoscopic gynecological surgery. However, segmenting small and morphologically variable structures such as the ovary and fallopian…
other
2026
Ovarian cancer remains one of the most challenging cancers to diagnose due to its non-specific symptoms, lack of reliable screening tests, and the complexity of detecting abnormalities. Accurate subtype classification is crucial for persona…
other
2026
This study aimed to develop and validate a multimodal deep learning model that leverages 2D grayscale ultrasound (US) images alongside readily available clinical data to improve diagnostic performance for ovarian cancer (OC). A retrospectiv…
diagnostic-accuracy
2024
Endometrial carcinoma (EC) risk stratification prior to surgery is crucial for clinical treatment. In this study, we intend to evaluate the predictive value of radiomics models based on magnetic resonance imaging (MRI) for risk stratificati…
observational
2024
This study aimed to develop a model based on radiomics and deep learning features to predict the ablation rate in patients with adenomyosis undergoing high-intensity focused ultrasound (HIFU) therapy. A total of 119 patients with adenomyosi…
2024