AIMC Topic: Image Processing, Computer-Assisted

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Improved leukocyte classification in bone marrow cytology using convolutional neural network with contrast enhancement.

Scientific reports Aug 19, 2025
Leukocytes or white blood cells (WBCs) are the main components of the immune system that protect the human body from various infections caused by viruses, bacteria, fungi, and other microorganisms. There are five major types of leukocytes: basophils,...
Humans Leukocytes Bone Marrow Bone Marrow Cells Convolutional Neural Networks Image Processing, Computer-Assisted Neural Networks, Computer
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Enhanced residual-attention deep neural network for disease classification in maize leaf images.

Scientific reports Aug 12, 2025
Disease classification in maize plant is necessary for immediate treatment to enhance agricultural production and assure global food sustainability. Recent advancements in deep learning, specifically convolutional neural networks, have shown outstand...
Plant Leaves Zea mays Plant Diseases Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer
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ReSCU-Nets: Recurrent U-Nets for segmentation of three-dimensional microscopy data.

The Journal of cell biology Aug 11, 2025
Segmenting multidimensional microscopy data requires high accuracy across many images (e.g., time points or Z slices) and is thus a labor-intensive part of biological image processing pipelines. We present ReSCU-Nets, recurrent convolutional neural n...
Neural Networks, Computer Image Processing, Computer-Assisted Wound Healing Microscopy Animals Imaging, Three-Dimensional Time-Lapse Imaging Drosophila melanogaster Gap Junctions
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Enhanced MRI brain tumor detection using deep learning in conjunction with explainable AI SHAP based diverse and multi feature analysis.

Scientific reports Aug 11, 2025
Recent innovations in medical imaging have markedly improved brain tumor identification, surpassing conventional diagnostic approaches that suffer from low resolution, radiation exposure, and limited contrast. Magnetic Resonance Imaging (MRI) is pivo...
Support Vector Machine Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Deep Learning Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Brain Neoplasms
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Ethical considerations and robustness of artificial neural networks in medical image analysis under data corruption.

Scientific reports Aug 11, 2025
Medicine is one of the most sensitive fields in which artificial intelligence (AI) is extensively used, spanning from medical image analysis to clinical support. Specifically, in medicine, where every decision may severely affect human lives, the iss...
Diagnostic Imaging Artificial Intelligence Algorithms Humans Image Processing, Computer-Assisted Neural Networks, Computer
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Enhancing synthetic pelvic CT generation from CBCT using vision transformer with adaptive fourier neural operators.

Biomedical physics & engineering express Aug 11, 2025
This study introduces a novel approach to improve Cone Beam CT (CBCT) image quality by developing a synthetic CT (sCT) generation method using CycleGAN with a Vision Transformer (ViT) and an Adaptive Fourier Neural Operator (AFNO).A dataset of 20 pro...
Radiosurgery Fourier Analysis Pelvis Algorithms Radiotherapy Planning, Computer-Assisted Male Image Processing, Computer-Assisted Prostatic Neoplasms Cone-Beam Computed Tomography Humans Neural Networks, Computer
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Enhancing meningioma tumor classification accuracy through multi-task learning approach and image analysis of MRI images.

PloS one Aug 11, 2025
BACKGROUND: Accurate classification of meningioma brain tumors is crucial for determining the appropriate treatment plan and improving patient outcomes. However, this task is challenging due to the slow-growing nature of these tumors and the potentia...
Humans Machine Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Adult Female Meningeal Neoplasms Deep Learning Aged Male Meningioma Middle Aged
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Colour segmentation of printed fabrics by integrating adaptive neural network and density peak clustering algorithm.

PloS one Aug 11, 2025
With the development of computer vision and image processing technology, color segmentation of printed fabrics has gradually become a key task in the textile industry. However, the existing methods often face the problems of low segmentation accuracy...
Clustering Algorithms Cluster Analysis Color Textiles Algorithms Image Processing, Computer-Assisted Neural Networks, Computer
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Impact of deep learning and post-processing algorithms performances on biodiversity metrics assessed on videos.

PloS one Aug 11, 2025
Assessing the escalating biodiversity crisis, driven by climate change, habitat destruction, and exploitation, necessitates efficient monitoring strategies to assess species presence and abundance across diverse habitats. Video-based surveys using re...
Fishes Video Recording Image Processing, Computer-Assisted Biodiversity Algorithms Ecosystem Deep Learning Animals
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Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models.

Scientific reports Aug 10, 2025
The development and refinement of artificial intelligence (AI) and machine learning algorithms have been an area of intense research in radiology and pathology, particularly for automated or computer-aided diagnosis. Whole Slide Imaging (WSI) has eme...
Graph Neural Networks Machine Learning Algorithms Humans Image Processing, Computer-Assisted Neural Networks, Computer
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