AIMC Topic: Image Processing, Computer-Assisted

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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...
Image Processing, Computer-Assisted Lung Neoplasms Decision Trees Algorithms Tomography, X-Ray Computed Humans Machine Learning
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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...
Image Processing, Computer-Assisted Lung Neoplasms Algorithms Deep Learning Humans Neural Networks, Computer
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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...
Algorithms Databases, Factual Humans Neural Networks, Computer Computational Biology Retina Microscopy, Electron Deep Learning 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...
Brain Magnetic Resonance Imaging Humans Parkinson Disease Female Neural Networks, Computer Aged ROC Curve Parkinsonian Disorders Male Image Processing, Computer-Assisted Middle Aged
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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 ...
Esophageal Squamous Cell Carcinoma Humans Image Processing, Computer-Assisted Precision Medicine Esophageal Neoplasms Prognosis Radiomics
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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...
Artificial Intelligence Skin Neoplasms Natural Language Processing Dermatology Image Processing, Computer-Assisted Humans
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A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts.

PloS one May 27, 2025
Creating a dataset for training supervised machine learning algorithms can be a demanding task. This is especially true for blood vessel segmentation since one or more specialists are usually required for image annotation, and creating ground truth l...
Blood Vessels Microscopy, Fluorescence Supervised Machine Learning Humans Databases, Factual Image Processing, Computer-Assisted Algorithms
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Image key information processing using convolutional neural network and rotational invariant-hierarchical max pooling algorithm.

PloS one May 27, 2025
In the information age, the effectiveness of image processing determines the quality of a large number of image analysis tasks. A fusion algorithm-based processing technique was proposed to process key image information. A feature dictionary was intr...
Image Processing, Computer-Assisted Algorithms Humans Convolutional Neural Networks Neural Networks, Computer
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Image guided construction of a common coordinate framework for spatial transcriptome data.

Scientific reports May 24, 2025
Spatial transcriptomics is a powerful technology for high-resolution mapping of gene expression in tissue samples, enabling a molecular level understanding of tissue architecture. The acquisition entails dissecting and profiling micron-thick tissue s...
Humans Deep Learning Algorithms Gene Expression Profiling Image Processing, Computer-Assisted Transcriptome Animals
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PDS-UKAN: Subdivision hopping connected to the U-KAN network for medical image segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society May 23, 2025
Accurate and efficient segmentation of medical images plays a vital role in clinical tasks, such as diagnostic procedures and planning treatments. Traditional U-shaped encoder-decoder architectures, built on convolutional and transformer-based networ...
Algorithms Image Processing, Computer-Assisted Diagnostic Imaging Humans Neural Networks, Computer
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