AIMC Topic: Image Processing, Computer-Assisted

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Semi-supervised medical image segmentation based on multi-stage iterative training and high-confidence pseudo-labeling.

Biomedical physics & engineering express Aug 6, 2025
Due to the scarcity and high cost of pixel-level annotations for training data, semi-supervised learning has gradually become a key solution. Most existing methods rely on consistency regularization and pseudo-label generation, often adopting multi-b...
Humans Algorithms Magnetic Resonance Imaging Heart Supervised Machine Learning Reproducibility of Results Image Processing, Computer-Assisted
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Advancing fishery dependent and independent habitat assessments using automated image analysis: A fisheries management agency case study.

PloS one Aug 6, 2025
Advances in artificial intelligence and machine learning have revolutionised data analysis, including in the field of marine and fisheries sciences. However, many fisheries agencies manage sensitive or proprietary data that cannot be shared externall...
Fisheries Conservation of Natural Resources Western Australia Artificial Intelligence Machine Learning Ecosystem Image Processing, Computer-Assisted Animals
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YOLO-LeafNet: a robust deep learning framework for multispecies plant disease detection with data augmentation.

Scientific reports Aug 5, 2025
Plant diseases significantly harm crops, resulting in significant economic losses across the globe. In order to reduce the harm that these diseases produce, plant diseases must be diagnosed accurately and timely manner. In this work, a YOLO-LeafNet a...
Zea mays Vitis Capsicum Plant Diseases Image Processing, Computer-Assisted Plant Leaves Algorithms Deep Learning
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Development and evaluation of deep neural networks for the classification of subtypes of renal cell carcinoma from kidney histopathology images.

Scientific reports Aug 5, 2025
Kidney cancer is a leading cause of cancer-related mortality, with renal cell carcinoma (RCC) being the most prevalent form, accounting for 80-85% of all renal tumors. Traditional diagnosis of kidney cancer requires manual examination and analysis of...
Deep Learning Image Processing, Computer-Assisted Kidney Neural Networks, Computer Algorithms Kidney Neoplasms Carcinoma, Renal Cell Humans
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Retinal image-based disease classification using hybrid deep architecture with improved image features.

International ophthalmology Aug 5, 2025
OBJECTIVE: Ophthalmologists use retinal fundus imaging as a useful tool to diagnose retinal issues. Recently, research on machine learning has concentrated on disease diagnosis. However, disease detection is less accurate, more likely to be misidenti...
Humans Neural Networks, Computer Deep Learning Retina Retinal Diseases Image Processing, Computer-Assisted Fundus Oculi
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AI-driven framework for automated detection of kidney stones in CT images: integration of deep learning architectures and transformers.

Biomedical physics & engineering express Aug 5, 2025
. Kidney stones, a prevalent urological condition, associated with acute pain requires prompt and precise diagnosis for optimal therapeutic intervention. While computed tomography (CT) imaging remains the definitive diagnostic modality, manual interp...
Deep Learning Algorithms Image Processing, Computer-Assisted Kidney Calculi Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Humans Artificial Intelligence
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A lightweight hybrid DL model for multi-class chest x-ray classification for pulmonary diseases.

Biomedical physics & engineering express Aug 5, 2025
Pulmonary diseases have become one of the main reasons for people's health decline, impacting millions of people worldwide. Rapid advancement of deep learning has significantly impacted medical image analysis by improving diagnostic accuracy and effi...
Radiography, Thoracic COVID-19 Radiographic Image Interpretation, Computer-Assisted Algorithms Humans Lung Diseases SARS-CoV-2 Support Vector Machine Neural Networks, Computer Image Processing, Computer-Assisted Lung Pneumonia Deep Learning Machine Learning
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Multi-scale feature pyramid network with bidirectional attention for efficient mural image classification.

PloS one Aug 4, 2025
Mural image recognition plays a critical role in the digital preservation of cultural heritage; however, it faces cross-cultural and multi-period style generalization challenges, compounded by limited sample sizes and intricate details, such as losse...
Algorithms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Leveraging potential of limpid attention transformer with dynamic tokenization for hyperspectral image classification.

PloS one Aug 4, 2025
Hyperspectral data consists of continuous narrow spectral bands. Due to this, it has less spatial and high spectral information. Convolutional neural networks (CNNs) emerge as a highly contextual information model for remote sensing applications. Unf...
Neural Networks, Computer Algorithms Remote Sensing Technology Hyperspectral Imaging Image Processing, Computer-Assisted
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Adapting foundation models for rapid clinical response: intracerebral hemorrhage segmentation in emergency settings.

Scientific reports Aug 3, 2025
Intracerebral hemorrhage (ICH) is a medical emergency that demands rapid and accurate diagnosis for optimal patient management. Hemorrhagic lesions' segmentation on CT scans is a necessary first step for acquiring quantitative imaging data that are b...
Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Cerebral Hemorrhage Deep Learning Humans
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