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Detection of central serous retinopathy using deep learning through retinal images
Published 2023“…This research proposes a deep learning-based CSR detection employing two imaging techniques: OCT and fundus photography. …”
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A Deep Learning based Process Model for Crack Detection in Pavement Structures
Published 2022“…This paper presents an investigation of the effectiveness of a Machine Deep Learning (DL) model using Convolution Neural Networks (CNN) in detecting cracks in asphalt pavement. …”
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Feature modeling using polynomial classifiers and stepwise regression
Published 2010Get full text
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Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models
Published 2022“…Pre-processing on the dataset is required to standardize the dataset by resizing the image into 224 * 224 pixels, convert into jpg format and augmentation. …”
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Extreme Early Image Recognition Using Event-Based Vision
Published 2023“…<p dir="ltr">While deep learning algorithms have advanced to a great extent, they are all designed for frame-based imagers that capture images at a high frame rate, which leads to a high storage requirement, heavy computations, and very high power consumption. …”
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DiaNet: A Deep Learning Based Architecture to Diagnose Diabetes Using Retinal Images Only
Published 2021“…Comparing the performance of DiaNet against the existing clinical data-based machine learning models, we conclude that the retinal images contain sufficient information to distinguish the Qatari diabetes cohort from the control group. …”
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Deep learning and vision transformers-based framework for breast cancer and subtype identification
Published 2025“…The proposed deep learning-based framework for advanced breast cancer detection and subtype identification yielded promising results. …”
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
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An Efficient Prediction System for Diabetes Disease Based on Deep Neural Network
Published 2021“…Such algorithms are state‐of‐the‐art in computer vision, language processing, and image analysis, and when applied in healthcare for prediction and diagnosis purposes, these algorithms can produce highly accurate results. …”
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Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection
Published 2024“…The study reviews traditional phishing detection methods, ML and DL models, phishing datasets, and the step-by-step phishing process. …”