Article-Journal

Enhancing Generalization and Mitigating Overfitting in Deep Learning for Brain Cancer Diagnosis from MRI
Brain cancer represents a significant global health challenge with increasing incidence and mortality rates. Magnetic Resonance Imaging …
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HSMix: Hard and soft mixing data augmentation for medical image segmentation
Due to the high cost of annotation or the rarity of some diseases, medical image segmentation is often limited by data scarcity and the …
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Integrating ConvNeXt and vision transformers for enhancing facial age estimation
Age estimation from facial images is a complex and multifaceted challenge in computer vision. In this study, we present a novel hybrid …
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Label-free metabolic fingerprinting of motile mammalian spermatozoa with subcellular resolution
Background: Sperm metabolic pathways that generate energy for motility are compartmentalized within the flagellum. Dysfunctions in …
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Leveraging Graph Convolutional Networks for Semi-supervised Learning in Multi-view Non-graph Data
Semi-supervised learning with a graph-based approach has gained prominence in machine learning, particularly in scenarios where …
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Multi-view learning with graph convolution networks adopting diverse graphs and genuine deep feature fusion
Multi-view data significantly enhances the accuracy of machine learning algorithms by providing a comprehensive representation of …
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Parallel VMamba and Attention-Based Pneumonia Severity Prediction from CXRs: A Robust Model with Segmented Lung Replacement Augmentation
Background/Objectives: Rapid and accurate assessment of lung diseases, like pneumonia, is critical for effective clinical …
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PViTGAtt-IP: Severity Quantification of Lung Infections in Chest X-rays and CT Scans via Parallel and Cross-Attended Encoders
The development of a robust and adaptive deep learning technique for the diagnosis of pneumonia and the assessment of its severity was …
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Recognizing past shapes: sex differentiation through deep learning on European Upper Palaeolithic hand stencils
This study explores the application of advanced deep learning techniques in analyzing Upper Palaeolithic hand stencil representations, …
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Semi-supervised learning for multi-view and non-graph data using Graph Convolutional Networks
Semi-supervised learning with a graph-based approach has become increasingly popular in machine learning, particularly when dealing …
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Semi-supervised learning for multi-view and non-graph data using Graph Convolutional Networks