AIMC Topic: Image Processing, Computer-Assisted

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Application of ConvNeXt with transfer learning and data augmentation for malaria parasite detection in resource-limited settings using microscopic images.

PloS one Jun 4, 2025
Malaria continues to be a severe health problem across the globe, especially within resource-limited areas which lack both skilled diagnostic personnel and diagnostic equipment. This study investigates the use of deep learning diagnosis for malaria t...
Malaria Microscopy Resource-Limited Settings Image Processing, Computer-Assisted Plasmodium falciparum Humans Deep Learning
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FPA-based weighted average ensemble of deep learning models for classification of lung cancer using CT scan images.

Scientific reports Jun 3, 2025
Cancer is among the most dangerous diseases contributing to rising global mortality rates. Lung cancer, particularly adenocarcinoma, is one of the deadliest forms and severely impacts human life. Early diagnosis and appropriate treatment significantl...
Tomography, X-Ray Computed Deep Learning Humans Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Lung Neoplasms
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FIAN: A frequency information-adaptive network for spatial-frequency domain pansharpening.

PloS one Jun 3, 2025
Pansharpening aims to combine the spatial information from high-resolution panchromatic (PAN) images with the spectral information from low-resolution multispectral (LRMS) images generating high-resolution multispectral (HRMS) images. While Convoluti...
Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Current trends in glioma tumor segmentation: A survey of deep learning modules.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jun 2, 2025
BACKGROUND: Multiparametric Magnetic Resonance Imaging (mpMRI) is the gold standard for diagnosing brain tumors, especially gliomas, which are difficult to segment due to their heterogeneity and varied sub-regions. While manual segmentation is time-c...
Surveys and Questionnaires Humans Brain Neoplasms Image Processing, Computer-Assisted Deep Learning Glioma
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Segmentation of airways and soft tissues on panoramic radiographs using artificial intelligence technology.

BMC oral health Jun 2, 2025
BACKGROUND: Segmentation of airways and soft tissues on panoramic radiographs is a challenging yet crucial task in dental diagnostics, as these regions can often be confused with fractures or other lesions due to superimposition. This study aimed to ...
Image Processing, Computer-Assisted Radiography, Panoramic Tongue Artificial Intelligence Sensitivity and Specificity Humans
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Application research of artificial intelligence software in the analysis of thyroid nodule ultrasound image characteristics.

PloS one Jun 2, 2025
Thyroid nodule, as a common clinical endocrine disease, has become increasingly prevalent worldwide. Ultrasound, as the premier method of thyroid imaging, plays an important role in accurately diagnosing and managing thyroid nodules. However, there i...
Image Interpretation, Computer-Assisted Humans Female Male Adult Artificial Intelligence Middle Aged Software Ultrasonography Thyroid Nodule Image Processing, Computer-Assisted
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UICD: A new dataset and approach for urdu image captioning.

PloS one Jun 2, 2025
Advancements in deep learning have revolutionized numerous real-world applications, including image recognition, visual question answering, and image captioning. Among these, image captioning has emerged as a critical area of research, with substanti...
Deep Learning Image Processing, Computer-Assisted Databases, Factual Language Humans
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Skin cancer segmentation and classification by implementing a hybrid FrCN-(U-NeT) technique with machine learning.

PloS one Jun 2, 2025
Skin cancer is a severe and rapidly advancing condition that can be impacted by multiple factors, including alcohol and tobacco use, allergies, infections, physical activity, exposure to UV light, viral infections, and the effects of climate change. ...
Melanoma Skin Neoplasms Machine Learning Algorithms Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Ground-truth-free deep learning approach for accelerated quantitative parameter mapping with memory efficient learning.

PloS one Jun 2, 2025
Quantitative MRI (qMRI) requires the acquisition of multiple images with parameter changes, resulting in longer measurement times than conventional imaging. Deep learning (DL) for image reconstruction has shown a significant reduction in acquisition ...
Algorithms Brain Deep Learning Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging
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A Synergistic Approach Using Photoacoustic Spectroscopy and AI-Based Image Analysis for Post-Harvest Quality Assessment of Conference Pears.

Molecules (Basel, Switzerland) Jun 1, 2025
This study presents a non-invasive approach to monitoring post-harvest fruit quality by applying CO laser photoacoustic spectroscopy (COLPAS) to study the respiration of "Conference" pears from local and commercially stored (supermarket) sources. Con...
Ethylenes Food Quality Ethanol Photoacoustic Techniques Fruit Spectrum Analysis Ammonia Artificial Intelligence Image Processing, Computer-Assisted
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