Obstetrics & Gynecology

Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder.

Discrimination of ovarian tumors is necessary for proper treatment. In this study, we developed a co...

Research on the Guidance of Youth Labor Education Based on the "Combination of Education and Production Labor" Program Based on the Deep Learning Model.

At present, there is a lack of research on Marx's idea of "combining education and productive labor"...

Prediction Model of Residual Neural Network for Pathological Confirmed Lymph Node Metastasis of Ovarian Cancer.

PURPOSE: We want to develop a model for predicting lymph node status based on positron emission comp...

Automatic Detection and Segmentation of Ovarian Cancer Using a Multitask Model in Pelvic CT Images.

Ovarian cancer is one of the most common malignant tumours of female reproductive organs in the worl...

Modeling the transplacental transfer of small molecules using machine learning: a case study on per- and polyfluorinated substances (PFAS).

BACKGROUND: Despite their large numbers and widespread use, very little is known about the extent to...

Deep-learning model associating lateral cervical radiographic features with Cormack-Lehane grade 3 or 4 glottic view.

Unanticipated difficult laryngoscopy is associated with serious airway-related complications. We aim...

Design and implementation of an adaptive fuzzy sliding mode controller for drug delivery in treatment of vascular cancer tumours and its optimisation using genetic algorithm tool.

In this paper, the side effects of drug therapy in the process of cancer treatment are reduced by de...

Ergonomic Assessment of the Surgeon's Physical Workload During Robot-Assisted Versus Standard Laparoscopy in a French Multicenter Randomized Trial (ROBOGYN-1004 Trial).

BACKGROUND: Standard laparoscopy (SL) is responsible for musculoskeletal disorders in surgeons becau...

Artificial Intelligence-Based Detection of Human Embryo Components for Assisted Reproduction by In Vitro Fertilization.

Assisted reproductive technology is helping humans by addressing infertility using different medical...

Deep-Learning to Predict BRCA Mutation and Survival from Digital H&E Slides of Epithelial Ovarian Cancer.

BRCA 1/2 genes mutation status can already determine the therapeutic algorithm of high grade serous ...

Development of early prediction model for pregnancy-associated hypertension with graph-based semi-supervised learning.

Clinical guidelines recommend several risk factors to identify women in early pregnancy at high risk...

Comparison of Deep Learning and Classical Machine Learning Algorithms to Predict Postoperative Outcomes for Anterior Cervical Discectomy and Fusion Procedures With State-of-the-art Performance.

STUDY DESIGN: Retrospective cohort.

Application and Communication Optimization Technology of Unmanned Distribution Car under Deep Learning in Logistics Express of COVID-19.

This work aims to solve the problem that the daily necessities of urban residents cannot be delivere...

Reappraisal of Robotic Assistance in Gynecologic Oncology: The Lessons of ROBOGYN-1004.

Prediction of placenta accreta spectrum by combining deep learning and radiomics using T2WI: a multicenter study.

PURPOSE: To achieve prenatal prediction of placenta accreta spectrum (PAS) by combining clinical mod...

Spinal robotics in cervical spine surgery: a systematic review with key concepts and technical considerations.

OBJECTIVE: Spinal robotics for thoracolumbar procedures, predominantly employed for the insertion of...

Machine learning in project analytics: a data-driven framework and case study.

The analytic procedures incorporated to facilitate the delivery of projects are often referred to as...

Exploring the Application of BIM Technology in the Whole Process of Construction Cost Management with Computational Intelligence.

The construction industry is a labor-intensive industry in China. In recent years, as people's livin...

Differentiating single cervical cells by mitochondrial fluorescence imaging and deep learning-based label-free light scattering with multi-modal static cytometry.

Cervical cancer is a high-risk disease that threatens women's health globally. In this study, we dev...

Machine learning applications in gynecological cancer: A critical review.

Machine Learning (ML) represents a computer science capable of generating predictive models, by expo...

Deep learning-based histotype diagnosis of ovarian carcinoma whole-slide pathology images.

Ovarian carcinoma has the highest mortality of all female reproductive cancers and current treatment...