AIMC Topic: Ovarian Neoplasms
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Bayesian and deep-learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkers.
Cancer medicine
Apr 1, 2024
BACKGROUND: Ovarian cancer is the most lethal of all gynecological cancers. Cancer Antigen 125 (CA125) is the best-performing ovarian cancer biomarker which however is still not effective as a screening test in the general population. Recent literatu...
Platelet RNA signature independently predicts ovarian cancer prognosis by deep learning neural network model.
Protein & cell
Aug 1, 2023
Preliminary Results of Deep Learning Approach for Preoperative Diagnosis of Ovarian Cancer Based on Pelvic MRI Scans.
Anticancer research
Aug 1, 2023
BACKGROUND/AIM: To predict the pathological diagnosis of ovarian tumors using preoperative MRI images, using deep learning models.
The Use of Artificial Intelligence for Complete Cytoreduction Prediction in Epithelial Ovarian Cancer: A Narrative Review.
Cancer control : journal of the Moffitt Cancer Center
Jan 1, 2023
INTRODUCTION: In patients affected by epithelial ovarian cancer (EOC) complete cytoreduction (CC) has been associated with higher survival outcomes. Artificial intelligence (AI) systems have proved clinical benefice in different areas of healthcare.
Ensemble biomarkers for guiding anti-angiogenesis therapy for ovarian cancer using deep learning.
Clinical and translational medicine
Jan 1, 2023
A deep-learning-enabled diagnosis of ovarian cancer - Authors' reply.
The Lancet. Digital health
Sep 1, 2022
Robot-assisted laparoscopic staging compared to conventional laparoscopic staging and laparotomic staging in clinical early stage ovarian carcinoma.
Current opinion in oncology
Sep 1, 2022
PURPOSE OF REVIEW: Robot-assisted laparoscopic staging (RALS) is increasingly used for staging epithelial ovarian cancer (EOC). Evidence of its safety is limited. The aim of this review is to compare the efficacy and safety of RALS in clinical early-...
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study.
The Lancet. Digital health
Mar 1, 2022
BACKGROUND: Ultrasound is a critical non-invasive test for preoperative diagnosis of ovarian cancer. Deep learning is making advances in image-recognition tasks; therefore, we aimed to develop a deep convolutional neural network (DCNN) model that aut...
Pattern Classification for Ovarian Tumors by Integration of Radiomics and Deep Learning Features.
Current medical imaging
Jan 1, 2022
BACKGROUND: Ovarian tumor is a common female genital tumor, among which malignant tumors have a poor prognosis. The survival rate of 70% of patients with ovarian cancer is less than 5 years, while benign ovarian tumor is better, so the early diagnosi...
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