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Investigation of Diverse ML and DL Algorithms Toward the Segmentation and Classification of Mammographic Breast Density
2025 International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI),
2025
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A novel hybrid deep learning and chaotic dynamics approach for thyroid cancer classification
Scientific Reports,
2025
DOI:10.1038/s41598-025-24334-8
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Improving Alzheimer’s Disease Prediction Through Convolutional Neural Networks
2024 International Conference on Circuit, Systems and Communication (ICCSC),
2024
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Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images
2024
DOI:10.1016/B978-0-443-13999-4.00005-5
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The Predictive Role of Serum Lipid Levels, p53 and ki-67, According to Molecular Subtypes in Breast Cancer: A Randomized Clinical Study
International Journal of Molecular Sciences,
2024
DOI:10.3390/ijms25073911
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FuzzyDeepNets based feature extraction for classification of mammograms
Intelligence-Based Medicine,
2023
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CNN-Wavelet scattering textural feature fusion for classifying breast tissue in mammograms
Biomedical Signal Processing and Control,
2023
DOI:10.1016/j.bspc.2023.104683
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Gastrointestinal Endoscopic Image Classification using a Novel Wavelet Decomposition Based Deep Learning Algorithm
2023 IEEE International Conference on Electro Information Technology (eIT),
2023
DOI:10.1109/eIT57321.2023.10187226
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Deep Learning and Self-Powered Sensors Enabled Edge Computing Platform for Predicting Microclimate at Urban Blocks
IEEE Sensors Journal,
2023
DOI:10.1109/JSEN.2022.3210224
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Transfer learning techniques for medical image analysis: A review
Biocybernetics and Biomedical Engineering,
2022
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Breast density measurement methods on mammograms: a review
Multimedia Systems,
2022
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A novel wavelet decomposition and transformation convolutional neural network with data augmentation for breast cancer detection using digital mammogram
Scientific Reports,
2022
DOI:10.1038/s41598-022-09905-3
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Multi-class classification of mammograms with hesitancy based Hanman transform classifier on pervasive information set texture features
Informatics in Medicine Unlocked,
2021
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Formulation of probability-based pervasive information set features and Hanman transform classifier for the categorization of mammograms
SN Applied Sciences,
2021
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Classifying Breast Density in Mammographic Images Using Wavelet-Based and Fine-Tuned Sensory Neural Networks
International Journal of Image and Graphics,
2021
DOI:10.1142/S0219467821400040
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Classification of digital mammograms using information set features and Hanman Transform based classifiers
Informatics in Medicine Unlocked,
2020
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Fully Automated Breast Density Segmentation and Classification Using Deep Learning
Diagnostics,
2020
DOI:10.3390/diagnostics10110988
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