R. U.
7 Papers
R. U. is an academic researcher. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 1, co-authored 3 publications.
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Papers
Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding
Anjan Gudigar,R. U.,Jyothi Samanth,Akhila Vasudeva,A. A. J.,Krishnananda Nayak,R. Tan,Edward J. Ciaccio,Chui Ping Ooi,Prabal Datta Barua,Filippo Molinari,U. Rajendra Acharya +11 more
TL;DR: This study reviews nondeep and deep learning approaches for assessing the Fetal echocardiogram using standard four-chamber ultrasound images and demonstrates the capability of automatic assessment of the fetal heart using AI technology.
A comparative evaluation of six sigma metrics and quality goal index ratio 3 months prior to first lockdown due to COVID-19 pandemic and 3 months during lockdown in a NABL accredited central laboratory
TL;DR: In this article , the authors compared the six-sigma metric and QGI ratio 3 months prior to first lockdown due to COVID-19 pandemic and 3 months during the first lockdown for the selected ten analytes from 1st January 2020 to 30th of June 2020 from the clinical biochemistry section of Yenepoya Medical College Hospital, Deralakatte, Mangalore.
2
Characterization and classification of ductal carcinoma tissue using four channel based stokes-mueller polarimetry and machine learning
Spandana Ku,Sindhoora Kaniyala Melanthota,R. U.,Sharada Rai,Krishna Kishor Mahato,N. Mazumder +5 more
TL;DR: Researchers developed a Stokes-Mueller polarimetry microscope to analyze tissue microstructure, using polarization parameters and machine learning to classify ductal carcinoma tissue with 95.78% validation accuracy and 94.81% testing accuracy.
2
An Efficient Detection of Intracranial Hematoma Using Window-Based Stacking and YOLOv5 Framework
Vidhya V,Anjan Gudigar,R. U.,Sudipta Basak,Sankalp Mallappa,Ajay Hegde,Girish Menon +6 more
- 16 Jun 2023
TL;DR: The suggested framework can help radiologists in strategic decision-making and improve quality care to the patients as well as locate and categorize hematoma regions of various types in the brain.
1
Four Channel based Stokes-Mueller Polarimetry for Tissue Characterization Integrated with Machine Learning
Sindhoora Kaniyala Melanthota,R. U.,Sharada Rai,KK Mahato,Nirmal Mazumder +4 more
- 01 Jan 2023
TL;DR: In this article , a transmission-based Stokes-Mueller microscope was proposed for quantitative analysis of the microstructural properties of the tissue specimen, which provided significant structural information of tissue through various polarization parameters such as degree of polarization, degree of linear polarization, and degree of circular polarization.