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Deep convolutional neural networks for computer-aided breast cancer diagnostic: a survey

Neural computing & applications, 2022-02, Vol.34 (3), p.1815-1836

2022

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Deep ensemble transfer learning-based framework for mammographic image classification

The Journal of supercomputing, 2023-05, Vol.79 (7), p.8048-8069

2023

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Image Augmentation Techniques for Mammogram Analysis

Journal of imaging, 2022-05, Vol.8 (5), p.141

2022

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Transfer Learning Assisted Classification of Artefacts Removed and Contrast Improved Digital Mammograms

Scalable Computing. Practice and Experience, 2022-10, Vol.23 (3), p.115-127

2022

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Presegmenter Cascaded Framework for Mammogram Mass Segmentation

International journal of biomedical imaging, 2024, Vol.2024 (1), p.9422083

2024

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A Transfer Representation Learning Approach for Breast Cancer Diagnosis from Mammograms using EfficientNet Models

Scalable Computing. Practice and Experience, 2022-08, Vol.23 (2), p.51-58

2022

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Computer-Aided Breast Cancer Diagnosis: Comparative Analysis of Breast Imaging Modalities and Mammogram Repositories

Current medical imaging reviews, 2023-01, Vol.19 (5), p.456-468

2023

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A Bottom-Up Review of Image Analysis Methods for Suspicious Region Detection in Mammograms

Journal of imaging, 2021-09, Vol.7 (9), p.190

2021

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Digital mammography dataset for breast cancer diagnosis research (DMID) with breast mass segmentation analysis

Biomedical engineering letters, 2024-03, Vol.14 (2), p.317-330

2024

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Evaluating the Igraph Community Detection Algorithms on Different Real Networks

Scalable Computing. Practice and Experience, 2023-07, Vol.24 (2), p.173-180

2023

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Fuzzy Logic Inference-Based Automated Water Irrigation System

International journal of ambient computing and intelligence, 2022, Vol.13 (1), p.1-15

2022

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Selection of Best Machine Learning Model to Predict Delay in Passenger Airlines

IEEE access, 2023-01, Vol.11, p.1-1

2023

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An Insight of Information Security: A Skeleton

International journal of recent technology and engineering, 2019-09, Vol.8 (3), p.2600-2605

2019

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Breast lesion classification from mammograms using deep neural network and test-time augmentation

Neural computing & applications, 2024-02, Vol.36 (4), p.2101-2117

2024

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Sentiment Analysis of Customer Feedback and Reviews for Airline Services using Language Representation Model

Procedia computer science, 2023, Vol.218, p.2459-2467

2023

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Social Distance Detection using Customized YOLOv4 (SDDYv4) Model

International Journal of Computing and Digital System (Jāmiʻat al-Baḥrayn. Markaz al-Nashr al-ʻIlmī), 2023-12, Vol.14 (1), p.10481-10489

2023

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Predictive Maintenance and Monitoring of Industrial Machine using Machine Learning

Scalable Computing. Practice and Experience, 2019-12, Vol.20 (4), p.663-668

2019

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Analysis and recommendation system-based on PRISMA checklist to write systematic review

Assessing writing, 2024-07, Vol.61, p.100866, Article 100866

2024

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Mammogram Pre-processing Using filtering methods for Breast Cancer Diagnosis

International journal of image, graphics and signal processing, 2023-08, Vol.15 (4), p.44-58

2023

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A Comprehensive Study of Mammogram Classification Techniques

Tracking and Preventing Diseases with Artificial Intelligence, 2022, p.217-238

2022

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Safeguarding the IoT: Taxonomy, security solutions, and future research opportunities

Security and privacy, 2024-03, Vol.7 (2), p.n/a

2024

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Towards automating irrigation: a fuzzy logic-based water irrigation system using IoT and deep learning

Modeling earth systems and environment, 2022-11, Vol.8 (4), p.5235-5250

2022

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Enhanced Secure ATM authentication using NFC Technology and Iris Verification

Scalable Computing. Practice and Experience, 2021-11, Vol.22 (2), p.273-282

2021

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AI in breast imaging: Applications, challenges, and future research

Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images, 2023

Hemanth, D. Jude

2023

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Tracking Cancer Patients Medical History Using Wireless Emerging Technology : Near Field Communication

International journal of VLSI design & communication systems, 2015-02, Vol.6 (1), p.1-8

2015

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Deep convolutional neural networks for computer-aided breast cancer diagnostic: a survey

Deep ensemble transfer learning-based framework for mammographic image classification

Image Augmentation Techniques for Mammogram Analysis

Transfer Learning Assisted Classification of Artefacts Removed and Contrast Improved Digital Mammograms

Presegmenter Cascaded Framework for Mammogram Mass Segmentation

A Transfer Representation Learning Approach for Breast Cancer Diagnosis from Mammograms using EfficientNet Models

Computer-Aided Breast Cancer Diagnosis: Comparative Analysis of Breast Imaging Modalities and Mammogram Repositories

A Bottom-Up Review of Image Analysis Methods for Suspicious Region Detection in Mammograms

Digital mammography dataset for breast cancer diagnosis research (DMID) with breast mass segmentation analysis

Evaluating the Igraph Community Detection Algorithms on Different Real Networks

Fuzzy Logic Inference-Based Automated Water Irrigation System

Selection of Best Machine Learning Model to Predict Delay in Passenger Airlines

An Insight of Information Security: A Skeleton

Breast lesion classification from mammograms using deep neural network and test-time augmentation

Sentiment Analysis of Customer Feedback and Reviews for Airline Services using Language Representation Model

Social Distance Detection using Customized YOLOv4 (SDDYv4) Model

Predictive Maintenance and Monitoring of Industrial Machine using Machine Learning

Analysis and recommendation system-based on PRISMA checklist to write systematic review

Mammogram Pre-processing Using filtering methods for Breast Cancer Diagnosis

A Comprehensive Study of Mammogram Classification Techniques

Safeguarding the IoT: Taxonomy, security solutions, and future research opportunities

Towards automating irrigation: a fuzzy logic-based water irrigation system using IoT and deep learning

Enhanced Secure ATM authentication using NFC Technology and Iris Verification

AI in breast imaging: Applications, challenges, and future research

Tracking Cancer Patients Medical History Using Wireless Emerging Technology : Near Field Communication

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