AIMC Topic: Image Processing, Computer-Assisted

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Deep learning-based real-time detection of head and neck tumors during radiation therapy.

Physics in medicine and biology Jul 31, 2025
Clinical drivers for real-time head and neck (H&N) tumor tracking during radiation therapy (RT) are accounting for motion caused by changes to the immobilization mask fit, and to reduce mask-related patient distress by replacing the masks with patien...
Image Processing, Computer-Assisted Head and Neck Neoplasms Humans Radiotherapy, Image-Guided Time Factors Deep Learning Cone-Beam Computed Tomography
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Efficacy of image similarity as a metric for augmenting small dataset retinal image segmentation.

Computers in biology and medicine Jul 30, 2025
Synthetic images are an option for augmenting limited medical imaging datasets to improve the performance of various machine learning models. A common metric for evaluating synthetic image quality is the Fréchet Inception Distance (FID) which measure...
Humans Databases, Factual Image Processing, Computer-Assisted Retina Diabetic Retinopathy Machine Learning Macular Edema
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M3-Net++: A multi-scale, multi-level, multi-stream network for nuclei segmentation in breast cancer histopathology using hierarchical context extraction and hybrid loss optimization.

Computers in biology and medicine Jul 30, 2025
Breast cancer remains a leading cause of morbidity and mortality worldwide. Histopathology, particularly the analysis of nuclear morphology in tissue samples, is critical for diagnosing and understanding the progression of breast cancer. Accurate nuc...
Deep Learning Image Processing, Computer-Assisted Cell Nucleus Image Interpretation, Computer-Assisted Female Breast Neoplasms Humans
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Leveraging weak supervision for cell localization in digital pathology using multitask learning and consistency loss.

Computers in biology and medicine Jul 30, 2025
Cell detection and segmentation are integral parts of automated systems in digital pathology. Encoder-decoder networks have emerged as a promising solution for these tasks. However, training of these networks has typically required full boundary anno...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Cell Count
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Histopathological-based brain tumor grading using 2D-3D multi-modal CNN-transformer combined with stacking classifiers.

Scientific reports Jul 30, 2025
Reliability in diagnosing and treating brain tumors depends on the accurate grading of histopathological images. However, limited scalability, adaptability, and interpretability challenge current methods for frequently grading brain tumors to accurat...
Humans Neural Networks, Computer Algorithms Reproducibility of Results Machine Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Brain Neoplasms Neoplasm Grading Deep Learning
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WSDC-ViT: a novel transformer network for pneumonia image classification based on windows scalable attention and dynamic rectified linear unit convolutional modules.

Scientific reports Jul 30, 2025
Accurate differential diagnosis of pneumonia remains a challenging task, as different types of pneumonia require distinct treatment strategies. Early and precise diagnosis is crucial for minimizing the risk of misdiagnosis and for effectively guiding...
Pneumonia Radiographic Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Diagnosis, Differential Humans Neural Networks, Computer Tomography, X-Ray Computed Diagnosis, Computer-Assisted Algorithms
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A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference.

Scientific reports Jul 30, 2025
Medical image analysis using deep learning algorithms has become a basis of modern healthcare, enabling early detection, diagnosis, treatment planning, and disease monitoring. However, sharing sensitive raw medical data with third parties for analysi...
Privacy Computer Security Image Processing, Computer-Assisted Confidentiality Humans Neural Networks, Computer Algorithms Deep Learning Machine Learning
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Explainable multimodal hematology analysis for white blood cell classification and attribute prediction.

Computers in biology and medicine Jul 29, 2025
White blood cell (WBC) classification and morphological attribute prediction are critical for automated hematological analyses. To provide detailed and interpretable predictions, this paper proposes a multimodal visual-language embedding learning app...
Humans Image Processing, Computer-Assisted Natural Language Processing Leukocytes Machine Learning Algorithms
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A hybrid filtering and deep learning approach for early Alzheimer's disease identification.

Scientific reports Jul 29, 2025
Alzheimer's disease is a progressive neurological disorder that profoundly affects cognitive functions and daily activities. Rapid and precise identification is essential for effective intervention and improved patient outcomes. This research introdu...
Male Humans Deep Learning Brain Image Processing, Computer-Assisted Female Aged Magnetic Resonance Imaging Alzheimer Disease
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Comparing non-machine learning vs. machine learning methods for Ki67 scoring in gastrointestinal neuroendocrine tumors.

Scientific reports Jul 29, 2025
The Ki67 score is a crucial prognostic biomarker for neuroendocrine tumors, but its manual assessment is labor-intensive, requiring the counting of 500-2,000 cells in hotspots. Digital image analysis could streamline this process, yet few comprehensi...
Humans Machine Learning Biomarkers, Tumor Neuroendocrine Tumors Image Processing, Computer-Assisted Ki-67 Antigen Gastrointestinal Neoplasms
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