Paper-Conference

Comparative Analysis of Convolutional Neural Networks and Vision Transformers for White Blood Cell Classification in Medical Imaging
Accurate white blood cell (WBC) classification in peripheral blood smears is essential for diagnosing and monitoring hematological …
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Robust Deep Learning for MRI-Based Alzheimer's Disease Detection: Overcoming Real-World Imaging Challenges
Detecting Alzheimer’s disease (AD) from MRI scans remains a significant challenge in medical imaging due to the subtle, …
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SAM-GAN Synthesis for Equitable Skin Cancer Diagnosis: A Deep Learning Approach to Address Class Imbalance in Dermoscopy
Recent advances in deep learning have significantly improved skin cancer classification, yet persistent issues such as extreme class …
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Super-Resolution Benchmarking for 3D Image-to-Image Fusion Problem
Fluorescence microscopy faces challenges in resolution, phototoxicity, and anisotropic artifacts. The Fuse My Cells challenge, …
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Advancing Road Safety: A CNN-Based Semi-Supervised Learning Approach for Drivers' Drowsiness Detection
The National Safety Council (NSC) has reported that each year, driver fatigue is responsible for 100,000 accidents, 71,000 injuries, …
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Data Augmentation Techniques for Medical Image Segmentation - A Review
Segmentation of medical images is crucial for accu-rate diagnosis, treatment planning and intervention. However, the scarcity of data …
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Deep Learning Image-Based Plant Disease Classification - A Review
Effective classification of plant diseases is crucial for increasing agricultural productivity and ensuring global food se-curity. Deep …
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Superpixel Mixing: A Data Augmentation Technique For Robust Deep Visual Recognition Models
Data augmentation can mitigate overfitting problems in data exploration without increasing the size of the model. Existing cutmix-based …
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Enhancing mobile robot surveillance in restricted areas: an optimal visual perception methodology for preventive security
The recent advances in mobile robot surveillance have significantly enhanced supervision tasks. Unlike traditional CCTV systems, these …
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Pixel-Level Quality Indicator for Image Data Annotation
The creation of image classification and segmentation Machine Learning products requires the annotation of different classes by experts …
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