AIMC Topic: Image Processing, Computer-Assisted

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A simple and effective approach for body part recognition on CT scans based on projection estimation.

Scientific reports Aug 28, 2025
It is well known that machine learning models require a high amount of annotated data to obtain optimal performance. Labelling Computed Tomography (CT) data can be a particularly challenging task due to its volumetric nature and often missing and/or ...
Tomography, X-Ray Computed Humans Imaging, Three-Dimensional Image Processing, Computer-Assisted Machine Learning Algorithms
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Deep learning-based automatic facial symmetry scoring in peripheral facial palsy.

Scientific reports Aug 27, 2025
Unilateral peripheral facial palsy (PFP) results in facial asymmetry and functional impairment, reducing quality of life. Accurate, objective assessment is vital for monitoring and rehabilitation. This study presents an automated method utilizes stan...
Facial Paralysis Face Facial Asymmetry Adolescent Image Processing, Computer-Assisted Aged Young Adult Adult Male Middle Aged Deep Learning Algorithms Retrospective Studies Female Humans
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A comparative analysis of deep learning architectures for thyroid tissue classification with hyperspectral imaging.

Scientific reports Aug 26, 2025
Hyperspectral imaging has shown significant applicability in the medical field, particularly for its ability to represent spectral information that can differentiate specific biomolecular characteristics in tissue samples. However, the complexity of ...
Hyperspectral Imaging Goiter Image Processing, Computer-Assisted Spectroscopy, Fourier Transform Infrared Humans Neural Networks, Computer Deep Learning Thyroid Gland Thyroid Neoplasms
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Optimized deep learning for brain tumor detection: a hybrid approach with attention mechanisms and clinical explainability.

Scientific reports Aug 26, 2025
Brain tumor classification (BTC) from Magnetic Resonance Imaging (MRI) is a critical diagnosis task, which is highly important for treatment planning. In this study, we propose a hybrid deep learning (DL) model that integrates VGG16, an attention mec...
Humans Glioma Support Vector Machine Magnetic Resonance Imaging Brain Neoplasms Deep Learning Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted
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Integrating snapshot ensemble learning into masked autoencoders for efficient self-supervised pretraining in medical imaging.

Scientific reports Aug 25, 2025
Self-supervised learning (SSL) has gained significant attention in medical imaging for its ability to leverage large amounts of unlabeled data for effective model pretraining. Among SSL methods, the masked autoencoder (MAE) has proven robust in learn...
Supervised Machine Learning Autoencoder Ensemble Learning Image Processing, Computer-Assisted Diagnostic Imaging Humans Algorithms Cardiovascular Diseases Child
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The analysis of landscape design and plant selection under deep learning.

Scientific reports Aug 23, 2025
This paper explores the application of deep learning (DL) techniques in landscape design and plant selection, aiming to enhance design efficiency and quality through automated plant leaf image recognition (PLIR). A novel framework based on Convolutio...
Conservation of Natural Resources Neural Networks, Computer Image Processing, Computer-Assisted Deep Learning Plant Leaves Plants
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A novel residual network based on multidimensional attention and pinwheel convolution for brain tumor classification.

Scientific reports Aug 23, 2025
Early and accurate brain tumor classification is vital for clinical diagnosis and treatment. Although Convolutional Neural Networks (CNNs) are widely used in medical image analysis, they often struggle to focus on critical information adequately and ...
Magnetic Resonance Imaging Pituitary Neoplasms Humans Meningioma Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Glioma Brain Neoplasms
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Multi-kernel inception-enhanced vision transformer for plant leaf disease recognition.

Scientific reports Aug 23, 2025
The timely and precise identification of diseases in plants is essential for efficient disease control and safeguarding of crops. Manual identification of diseases requires expert knowledge in the field, and finding people with domain knowledge is ch...
Deep Learning Image Processing, Computer-Assisted Crops, Agricultural Plant Diseases Neural Networks, Computer Machine Learning Algorithms Plant Leaves
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Classification of first embryonic division stages of multiple Caenorhabditis species by deep learning.

NPJ systems biology and applications Aug 23, 2025
The first embryonic division of Caenorhabditis elegans is a model for asymmetric cell division, and identifying the stages of cell division across related species could improve our understanding of the divergence of cellular events and mechanisms. Co...
Image Processing, Computer-Assisted Neural Networks, Computer Embryo, Nonmammalian Cell Division Animals Caenorhabditis elegans Deep Learning Caenorhabditis
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DERMA-OCTA: A Comprehensive Dataset and Preprocessing Pipeline for Dermatological OCTA Vessel Segmentation.

Scientific data Aug 23, 2025
Optical coherence tomography angiography (OCTA) has emerged as a promising tool for non-invasive vascular imaging in dermatology. However, the field lacks standardized methods for processing and analyzing these complex images, as well as sufficient a...
Skin Diseases Image Processing, Computer-Assisted Humans Angiography Tomography, Optical Coherence Skin Deep Learning
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