Semantic segmentation and classification of polycystic ovarian disease using attention UNet, Pyspark, and ensemble learning model

Analysis of fuzzy based intelligent health care application system for the diagnosis of mental health in women with ovarian cancer using computational models

(2023) Ashwini Kodipalli et al.   Intelligent Decision Technologies-Netherlands

A Distinctive Explainable Machine Learning Framework for Detection of Polycystic Ovary Syndrome

(2023) Varada Vivek Khanna et al.   Applied System Innovation

Performance Analysis of Segmentation and Classification of CT-Scanned Ovarian Tumours Using U-Net and Deep Convolutional Neural Networks

(2023) Ashwini Kodipalli et al.   Diagnostics

SPOSDS: A smart Polycystic Ovary Syndrome diagnostic system using machine learning

(2022) Shamik Tiwari et al.   EXPERT SYSTEMS WITH APPLICATIONS

Segmentation and classification of ovarian cancer based on conditional adversarial image to image translation approach

(2022) Ashwini Kodipalli et al.   EXPERT SYSTEMS

An inception‐ResNet deep learning approach to classify tumours in the ovary as benign and malignant

(2022) Ashwini Kodipalli et al.   EXPERT SYSTEMS

Raman spectroscopy of follicular fluid and plasma with machine-learning algorithms for polycystic ovary syndrome screening

(2021) Xinyi Zhang et al.   MOLECULAR AND CELLULAR ENDOCRINOLOGY

Prediction of PCOS and Mental Health Using Fuzzy Inference and SVM

(2021) Ashwini Kodipalli et al.   Frontiers in Public Health

Diagnosis of polycystic ovary syndrome through different machine learning and feature selection techniques

(2021) Homay Danaei Mehr et al.   Health and Technology