AIMC Topic: Ovarian Cysts
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Humans-written versus ChatGPT-generated case reports.
The journal of obstetrics and gynaecology research
Sep 6, 2024
AIM: Artificial intelligence, especially ChatGPT, has been used in various aspects of medicine; however, whether ChatGPT can be used in case report writing is unknown. This study aimed to provoke discussion and provide a platform for it.
Segmentation of ovarian cyst in ultrasound images using AdaResU-net with optimization algorithm and deep learning model.
Scientific reports
Aug 14, 2024
Ovarian cysts pose significant health risks including torsion, infertility, and cancer, necessitating rapid and accurate diagnosis. Ultrasonography is commonly employed for screening, yet its effectiveness is hindered by challenges like weak contrast...
Discriminative diagnosis of ovarian endometriosis cysts and benign mucinous cystadenomas based on the ConvNeXt algorithm.
European journal of obstetrics, gynecology, and reproductive biology
May 13, 2024
PURPOSE: The objective of this study was to develop a deep learning model, using the ConvNeXt algorithm, that can effectively differentiate between ovarian endometriosis cysts (OEC) and benign mucinous cystadenomas (MC) by analyzing ultrasound images...
Deep learning-based segmentation of multisite disease in ovarian cancer.
European radiology experimental
Dec 7, 2023
PURPOSE: To determine if pelvic/ovarian and omental lesions of ovarian cancer can be reliably segmented on computed tomography (CT) using fully automated deep learning-based methods.
Pediatric Psoriasis Associated with Van Wyk Grumbach Syndrome: A case report.
La Tunisie medicale
Oct 5, 2023
INTRODUCTION: Psoriasis is a common chronic inflammatory condition, often beginning in childhood in approximately one-third of cases. It can be associated with various other autoimmune diseases such as rheumatoid arthritis, celiac disease, and thyroi...
Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging.
European radiology
Oct 14, 2020
OBJECTIVES: There currently lacks a noninvasive and accurate method to distinguish benign and malignant ovarian lesion prior to treatment. This study developed a deep learning algorithm that distinguishes benign from malignant ovarian lesion by apply...
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