Polycystic Ovary Syndrome

Polycystic ovary syndrome (PCOS) is a common hormonal disorder affecting women of reproductive age, characterized by irregular periods and high androgen levels. Current research focuses on improving diagnosis and treatment using machine learning, employing various algorithms like convolutional neural networks (CNNs), deep linear discriminant analysis, and ensemble methods such as stacked generalization and boosting techniques, often applied to ultrasound and MRI data. These efforts aim to enhance diagnostic accuracy, personalize treatment selection (e.g., via federated learning for privacy-preserving data analysis), and ultimately improve patient outcomes by leveraging the power of data-driven approaches. The development of more accurate and efficient diagnostic tools holds significant promise for improving the management of this prevalent condition.

Papers

September 3, 2024

Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis
Hu Wang, David Butler, Yuan Zhang, Jodie Avery, Steven Knox, Congbo Ma, Louise Hull, Gustavo Carneiro
Human Ai Collaboration Multi Modal Learning Multi Annotator T1 Weighted Polycystic Ovary Syndrome

November 3, 2023

Nahid: AI-based Algorithm for operating fully-automatic surgery
Sina Saadati
User Digitization Artificial Intelligence Algorithm Computer Vision Technique Open Surgery Surgical Automation Polycystic Ovary Syndrome

August 22, 2023

Federated Learning on Patient Data for Privacy-Protecting Polycystic Ovary Syndrome Treatment
Lucia Morris, Tori Qiu, Nikhil Raghuraman
Data Driven Patient Data Polycystic Ovary Syndrome

July 5, 2023

Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images
Yuan Zhang, Hu Wang, David Butler, Minh-Son To, Jodie Avery, M Louise Hull, Gustavo Carneiro
Magnetic Resonance Image Polycystic Ovary Syndrome Modality Imputation

March 25, 2023

Deep Linear Discriminant Analysis with Variation for Polycystic Ovary Syndrome Classification
Raunak Joshi, Abhishek Gupta, Himanshu Soni, Ronald Laban
Deep Learning Category Wise Variation Discriminant Analysis Discriminative Deep Polycystic Ovary Syndrome

October 2, 2022

PCONet: A Convolutional Neural Network Architecture to Detect Polycystic Ovary Syndrome (PCOS) from Ovarian Ultrasound Images
A. K. M. Salman Hosain, Md Humaion Kabir Mehedi, Irteza Enan Kabir
Convolutional Neural Network Convolutional Neural Network Architecture Polycystic Ovary Syndrome

May 25, 2022

Residual-Concatenate Neural Network with Deep Regularization Layers for Binary Classification
Abhishek Gupta, Sruthi Nair, Raunak Joshi, Vidya Chitre
Deep Neural Network Binary Classification Complex Deep Polycystic Ovary Syndrome

February 17, 2022

Combining Varied Learners for Binary Classification using Stacked Generalization
Sruthi Nair, Abhishek Gupta, Raunak Joshi, Vidya Chitre
Machine Learning Ensemble Learning Binary Classification Generalization Error Stacked Autoencoder Student Learning Polycystic Ovary Syndrome

February 15, 2022

Binary Classification for High Dimensional Data using Supervised Non-Parametric Ensemble Method
Nandan Kanvinde, Abhishek Gupta, Raunak Joshi, Pinky Gerela
Random Forest Machine Learning Algorithm Binary Classification High Dimensional Data Polycystic Ovary Syndrome

January 9, 2022

Discriminant Analysis in Contrasting Dimensions for Polycystic Ovary Syndrome Prognostication
Abhishek Gupta, Himanshu Soni, Raunak Joshi, Ronald Melwin Laban
Dimensionality Reduction Box Dimension Discriminant Analysis Quadratic Discriminant Analysis Polycystic Ovary Syndrome

January 2, 2022

Succinct Differentiation of Disparate Boosting Ensemble Learning Methods for Prognostication of Polycystic Ovary Syndrome Diagnosis
Abhishek Gupta, Sannidhi Shetty, Raunak Joshi, Ronald Melwin Laban
Machine Learning Gradient Boosting Prognostic Model Sufficient Representation Adaptive Boosting Polycystic Ovary Syndrome Boosting Ensemble

Polycystic Ovary Syndrome

Papers

Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis

Nahid: AI-based Algorithm for operating fully-automatic surgery

Federated Learning on Patient Data for Privacy-Protecting Polycystic Ovary Syndrome Treatment

Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images

Deep Linear Discriminant Analysis with Variation for Polycystic Ovary Syndrome Classification

PCONet: A Convolutional Neural Network Architecture to Detect Polycystic Ovary Syndrome (PCOS) from Ovarian Ultrasound Images

Residual-Concatenate Neural Network with Deep Regularization Layers for Binary Classification

Combining Varied Learners for Binary Classification using Stacked Generalization

Binary Classification for High Dimensional Data using Supervised Non-Parametric Ensemble Method

Discriminant Analysis in Contrasting Dimensions for Polycystic Ovary Syndrome Prognostication

Succinct Differentiation of Disparate Boosting Ensemble Learning Methods for Prognostication of Polycystic Ovary Syndrome Diagnosis