[Retracted] A Deep Learning Framework for Earlier Prediction of Diabetic Retinopathy from Fundus Photographs
K Gunasekaran, R Pitchai… - BioMed Research …, 2022 - Wiley Online Library
Diabetic patients can also be identified immediately utilizing retinopathy photos, but it is a
challenging task. The blood veins visible in fundus photographs are used in several disease …
challenging task. The blood veins visible in fundus photographs are used in several disease …
Novel approach to non-invasive blood glucose monitoring based on transmittance and refraction of visible laser light
Current blood glucose monitoring (BGM) techniques are invasive as they require a finger
prick blood sample, a repetitively painful process that creates the risk of infection. BGM is …
prick blood sample, a repetitively painful process that creates the risk of infection. BGM is …
[HTML][HTML] An ingenious face recognition system based on HRPSM_CNN under unrestrained environmental condition
M Tamilselvi, S Karthikeyan - Alexandria Engineering Journal, 2022 - Elsevier
Face recognition is an emerging technology that divulges various applications in diverse
fields like medical image analysis, surveillance, personal identification, and security related …
fields like medical image analysis, surveillance, personal identification, and security related …
Everything you wanted to know about noninvasive glucose measurement and control
Diabetes is a chronicle disease where the body of a human is irregular to dissolve the blood
glucose properly. The diabetes is due to lack of insulin in human body. The continuous …
glucose properly. The diabetes is due to lack of insulin in human body. The continuous …
Noninvasive optical diagnostic techniques for mobile blood glucose and bilirubin monitoring
B Javid, F Fotouhi-Ghazvini… - Journal of Medical Signals …, 2018 - journals.lww.com
Background: People with diabetes need to monitor their blood sugar levels constantly and
attend health centers regularly for checkups. The aim of this study is to provide a healthcare …
attend health centers regularly for checkups. The aim of this study is to provide a healthcare …
Non-invasive Glucose Measurement Technologies: Recent Advancements and Future Challenges
Diabetes is a long-term condition in which a person's body cannot break down blood sugar
adequately due to a shortage of insulin. The most crucial element of health care is …
adequately due to a shortage of insulin. The most crucial element of health care is …
IoT and machine learning based self care system for diabetes monitoring and prediction
A Hebbale, GHR Vinay… - 2021 2nd global …, 2021 - ieeexplore.ieee.org
Diabetes is a chronic disease caused by the assimilation of blood sugar, mainly because of
reduced production or no production of insulin within the body (type 1 diabetes), or because …
reduced production or no production of insulin within the body (type 1 diabetes), or because …
[Retracted] Predicting the Growth of F. proliferatum and F. culmorum and the Growth of Mycotoxin Using Machine Learning Approach
R Srinivasan, T Lalitha, NC Brintha… - BioMed Research …, 2022 - Wiley Online Library
In distinct parts of the food web, Fusarium culmorum and Fusarium preserving the
relationship can germinate and grow zearalenone (ZEA) and fumonisins (FUM), accordingly …
relationship can germinate and grow zearalenone (ZEA) and fumonisins (FUM), accordingly …
IoT based crop monitoring scheme using smart device with machine learning methodology
SL Shylaja, S Fairooz, J Venkatesh… - Journal of Physics …, 2021 - iopscience.iop.org
Abstract Internet of Things (IoT) is the most considerable medium for all smart applications,
in which it provides a huge support to agricultural industry in fine manner. In literature, there …
in which it provides a huge support to agricultural industry in fine manner. In literature, there …
Liver segmentation and classification in computed tomography images using convolutional neural network and comparison of accuracy with support vector machine
NN Reddy, G Ramkumar - AIP Conference Proceedings, 2023 - pubs.aip.org
The goal of this research is to assess the presentation of convolutional Neural Network
(CNN) and SVM cla ssifiers in the new liver segmentation categorization using CT images …
(CNN) and SVM cla ssifiers in the new liver segmentation categorization using CT images …