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Identifying the Most Discriminative Parameter for Water Quality Prediction Using Machine Learning Algorithms

Water (Basel), 2024-02, Vol.16 (3), p.481

2024

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Designing of Ground-Truth-Annotated DBT-TU-JU Breast Thermogram Database Toward Early Abnormality Prediction

IEEE journal of biomedical and health informatics, 2018-07, Vol.22 (4), p.1238-1249

2018

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Evaluating the efficiency of infrared breast thermography for early breast cancer risk prediction in asymptomatic population

Infrared physics & technology, 2019-06, Vol.99, p.201-211

2019

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MMSHRs: a morphology model of suspicious hyperthermic regions for degree of severity prediction from breast thermograms

Quantitative infrared thermography, 2023-08, Vol.20 (4), p.157-181

2023

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Estimation of Architectural Distortion in Mammograms using Fractal Features

2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2017, p.1-3

2017

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Facial Mole Detection: An Approach towards Face Identification

Procedia computer science, 2015, Vol.46, p.1546-1553

2015

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A Study and Analysis of Hybrid Intelligent Techniques for Breast Cancer Detection Using Breast Thermograms

Hybrid Soft Computing Approaches, 2016, Vol.611, p.329-359

2016

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Importance of Feature Selection Methods in Machine Learning-Based Obesity Prediction

Artificial Intelligence-based Healthcare Systems, 2023, p.45-59

2023

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Singular value based characterization and analysis of thermal patches for early breast abnormality detection

Australasian physical & engineering sciences in medicine, 2018-12, Vol.41 (4), p.861-879

2018

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Breast abnormality detection through statistical feature analysis using infrared thermograms

2015 International Symposium on Advanced Computing and Communication (ISACC), 2015, p.258-265

2015

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Discriminative feature selection for breast abnormality detection and accurate classification of thermograms

2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC), 2017, p.39-44

2017

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Fractal feature based early breast abnormality prediction

2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), 2017, p.18-21

2017

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Identifying the Most Discriminative Parameter for Water Quality Prediction Using Machine Learning Algorithms

Designing of Ground-Truth-Annotated DBT-TU-JU Breast Thermogram Database Toward Early Abnormality Prediction

Evaluating the efficiency of infrared breast thermography for early breast cancer risk prediction in asymptomatic population

MMSHRs: a morphology model of suspicious hyperthermic regions for degree of severity prediction from breast thermograms

Estimation of Architectural Distortion in Mammograms using Fractal Features

Facial Mole Detection: An Approach towards Face Identification

A Study and Analysis of Hybrid Intelligent Techniques for Breast Cancer Detection Using Breast Thermograms

Importance of Feature Selection Methods in Machine Learning-Based Obesity Prediction

Singular value based characterization and analysis of thermal patches for early breast abnormality detection

Breast abnormality detection through statistical feature analysis using infrared thermograms

Discriminative feature selection for breast abnormality detection and accurate classification of thermograms

Fractal feature based early breast abnormality prediction

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