AIMC Topic: Image Processing, Computer-Assisted

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Adapting foundation models for rapid clinical response: intracerebral hemorrhage segmentation in emergency settings.

Scientific reports Aug 3, 2025
Intracerebral hemorrhage (ICH) is a medical emergency that demands rapid and accurate diagnosis for optimal patient management. Hemorrhagic lesions' segmentation on CT scans is a necessary first step for acquiring quantitative imaging data that are b...
Humans Algorithms Image Processing, Computer-Assisted Cerebral Hemorrhage Tomography, X-Ray Computed Deep Learning
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An effective multi-modality analysis for stress classification: A signal-to-image conversion using local pattern techniques.

Computers in biology and medicine Aug 2, 2025
Stress is an intensified reaction that occurs when humans experience challenges(stressors) due to complex and nonlinear responses. The study proposes a pattern-driven framework that combines signal and image-based modalities, incorporating Local Bina...
Respiratory Rate Humans Heart Rate Male Stress, Physiological Support Vector Machine Image Processing, Computer-Assisted Signal Processing, Computer-Assisted
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High-efficiency spatially guided learning network for lymphoblastic leukemia detection in bone marrow microscopy images.

Computers in biology and medicine Aug 2, 2025
Leukemia is a hematologic tumor that proliferates in bone marrow and seriously affects the survival of patients. Early and accurate diagnosis is crucial for effective leukemia treatment. Traditional diagnostic methods rely on experts' subjective anal...
Humans Algorithms Precursor Cell Lymphoblastic Leukemia-Lymphoma Bone Marrow Microscopy Deep Learning Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted
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Automatic restoration and reconstruction of defective tooth based on deep learning technology.

BMC oral health Aug 2, 2025
BACKGROUND: Accurate restoration and reconstruction of tooth morphology are crucial in restorative dentistry, implantology, and forensic odontology. Traditional methods, like manual wax modeling and template-based computer-aided design (CAD), struggl...
Tooth Models, Dental Image Processing, Computer-Assisted Dental Restoration, Permanent Humans Computer-Aided Design Deep Learning Imaging, Three-Dimensional
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Transfer learning based deep architecture for lung cancer classification using CT image with pattern and entropy based feature set.

Scientific reports Aug 2, 2025
Early detection of lung cancer, which remains one of the leading causes of death worldwide, is important for improved prognosis, and CT scanning is an important diagnostic modality. Lung cancer classification according to CT scan is challenging since...
Entropy Image Processing, Computer-Assisted Lung Neoplasms Humans Neural Networks, Computer Tomography, X-Ray Computed Deep Learning Algorithms
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Unsupervised learning for labeling global glomerulosclerosis.

Computers in biology and medicine Aug 1, 2025
BACKGROUND: Labeling images for supervised learning in nephropathology is highly time-consuming and dependent on domain-expertise. Unsupervised strategies have been suggested for mitigating this bottleneck. For instance, previous work suggested that ...
Humans Neural Networks, Computer Cluster Analysis Unsupervised Machine Learning Kidney Glomerulus Databases, Factual Image Processing, Computer-Assisted
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Fluid-SegNet: Multi-dimensional loss-driven Y-Net with dilated convolutions for OCT B-scan fluid segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 31, 2025
Optical Coherence Tomography (OCT) is a widely utilized imaging modality in clinical ophthalmology, particularly for retinal imaging. B-scan is a two-dimensional slice of the OCT volume. It enables high-resolution cross-sectional visualization of ret...
Humans Tomography, Optical Coherence Retina Deep Learning Image Processing, Computer-Assisted
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An explainable vision transformer with transfer learning based efficient drought stress identification.

Plant molecular biology Jul 31, 2025
Early detection of drought stress is critical for taking timely measures for reducing crop loss before the drought impact becomes irreversible. The subtle phenotypical and physiological changes in response to drought stress are captured by non-invasi...
Crops, Agricultural Solanum tuberosum Droughts Image Processing, Computer-Assisted Machine Learning Stress, Physiological Support Vector Machine Deep Learning
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A successive framework for brain tumor interpretation using Yolo variants.

Scientific reports Jul 31, 2025
Accurate identification and segmentation of brain tumors in Magnetic Resonance Imaging (MRI) images are critical for timely diagnosis and treatment. MRI is frequently used to diagnose these disorders; however medical professionals find it challenging...
Brain Neoplasms Image Processing, Computer-Assisted Magnetic Resonance Imaging Neural Networks, Computer Algorithms Humans Image Interpretation, Computer-Assisted
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Development of a novel deep learning method that transforms tabular input variables into images for the prediction of SLD.

Scientific reports Jul 31, 2025
Steatotic liver disease (SLD), formerly named fatty liver disease, has a prevalence estimated at 30-38% in adults. Detection of SLD is important, since prompt initiation of treatment can stop disease progression, lead to a reduction in adverse outcom...
Image Processing, Computer-Assisted Fatty Liver Deep Learning Non-alcoholic Fatty Liver Disease Male Female ROC Curve Middle Aged Adult Humans Sensitivity and Specificity
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