AIMC Topic: Image Processing, Computer-Assisted

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LiDSCUNet++: A lightweight depth separable convolutional UNet++ for vertebral column segmentation and spondylosis detection.

Research in veterinary science May 31, 2025
Accurate computer-aided diagnosis systems rely on precise segmentation of the vertebral column to assist physicians in diagnosing various disorders. However, segmenting spinal disks and bones becomes challenging in the presence of abnormalities and c...
Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Animals Dogs Dog Diseases Spondylosis Radiography Spine
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Quantitative benchmarking of nuclear segmentation algorithms in multiplexed immunofluorescence imaging for translational studies.

Communications biology May 30, 2025
Multiplexed imaging techniques require identifying different cell types in the tissue. To utilize their potential for cellular and molecular analysis, high throughput and accurate analytical approaches are needed in parsing vast amounts of data, part...
Image Processing, Computer-Assisted Benchmarking Translational Research, Biomedical Humans Algorithms Cell Nucleus Fluorescent Antibody Technique
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Pixel super-resolved virtual staining of label-free tissue using diffusion models.

Nature communications May 30, 2025
Virtual staining of tissue offers a powerful tool for transforming label-free microscopy images of unstained tissue into equivalents of histochemically stained samples. This study presents a diffusion model-based pixel super-resolution virtual staini...
Deep Learning Humans Image Processing, Computer-Assisted Reproducibility of Results Microscopy, Fluorescence Staining and Labeling Lung Diffusion
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Gaussian random fields as an abstract representation of patient metadata for multimodal medical image segmentation.

Scientific reports May 29, 2025
Growing rates of chronic wound occurrence, especially in patients with diabetes, has become a recent concerning trend. Chronic wounds are difficult and costly to treat, and have become a serious burden on health care systems worldwide. Innovative dee...
Metadata Humans Normal Distribution Algorithms Image Processing, Computer-Assisted Diabetic Foot Deep Learning
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Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees.

Scientific reports May 29, 2025
Due to imbalanced data values and high-dimensional features of lung cancer from CT scans images creates significant challenges in clinical research. The improper classification of these images leads towards higher complexity in classification process...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Decision Trees Lung Neoplasms Humans Machine Learning Algorithms
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An efficient dual-branch framework via implicit self-texture enhancement for arbitrary-scale histopathology image super-resolution.

Scientific reports May 29, 2025
High-quality whole-slide scanning is expensive, complex, and time-consuming, thus limiting the acquisition and utilization of high-resolution histopathology images in daily clinical work. Deep learning-based single-image super-resolution (SISR) techn...
Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Neural Networks, Computer Algorithms Humans
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RETINA: Reconstruction-based pre-trained enhanced TransUNet for electron microscopy segmentation on the CEM500K dataset.

PLoS computational biology May 28, 2025
Electron microscopy (EM) has revolutionized our understanding of cellular structures at the nanoscale. Accurate image segmentation is required for analyzing EM images. While manual segmentation is reliable, it is labor-intensive, incentivizing the de...
Humans Algorithms Databases, Factual Neural Networks, Computer Computational Biology Retina Deep Learning Microscopy, Electron Image Processing, Computer-Assisted
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Automatic identification of Parkinsonism using clinical multi-contrast brain MRI: a large self-supervised vision foundation model strategy.

EBioMedicine May 27, 2025
BACKGROUND: Valid non-invasive biomarkers for Parkinson's disease (PD) and Parkinson-plus syndrome (PPS) are urgently needed. Based on our recent self-supervised vision foundation model the Shift Window UNET TRansformer (Swin UNETR), which uses clini...
Aged Parkinsonian Disorders Male Brain ROC Curve Humans Middle Aged Female Magnetic Resonance Imaging Image Processing, Computer-Assisted Neural Networks, Computer Parkinson Disease
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Radiomics applications in the modern management of esophageal squamous cell carcinoma.

Medical oncology (Northwood, London, England) May 27, 2025
Esophageal cancer ranks among the most lethal malignancies globally, with China accounting for more than half of worldwide esophageal squamous cell carcinoma (ESCC) cases. Late-stage diagnosis frequently precludes surgical intervention, contributing ...
Humans Image Processing, Computer-Assisted Precision Medicine Prognosis Esophageal Neoplasms Radiomics Esophageal Squamous Cell Carcinoma
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Generating dermatopathology reports from gigapixel whole slide images with HistoGPT.

Nature communications May 27, 2025
Histopathology is the reference standard for diagnosing the presence and nature of many diseases, including cancer. However, analyzing tissue samples under a microscope and summarizing the findings in a comprehensive pathology report is time-consumin...
Dermatology Skin Neoplasms Image Processing, Computer-Assisted Natural Language Processing Humans Artificial Intelligence
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