AIMC Topic: Image Processing, Computer-Assisted

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Multimodal deep learning for cephalometric landmark detection and treatment prediction.

Scientific reports Jul 12, 2025
In orthodontics and maxillofacial surgery, accurate cephalometric analysis and treatment outcome prediction are critical for clinical decision-making. Traditional approaches rely on manual landmark identification, which is time-consuming and subject ...
Anatomic Landmarks Cephalometry Image Processing, Computer-Assisted Treatment Outcome Deep Learning Humans Cone-Beam Computed Tomography
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Highly adaptable deep-learning platform for automated detection and analysis of vesicle exocytosis.

Nature communications Jul 12, 2025
Activity recognition in live-cell imaging is labor-intensive and requires significant human effort. Existing automated analysis tools are largely limited in versatility. We present the Intelligent Vesicle Exocytosis Analysis (IVEA) platform, an Image...
Neurons Synaptic Transmission Fluorescent Dyes Microscopy, Fluorescence Exocytosis Humans Animals Image Processing, Computer-Assisted Rats Deep Learning
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Fusion of bio-inspired optimization and machine learning for Alzheimer's biomarker analysis.

Computers in biology and medicine Jul 11, 2025
Identification of Alzheimer's Disease (AD), especially in its early phases, presents significant challenges due to the nonexistence of reliable biomarkers and effective treatments. Clinical trials for AD medications also suffer from high failure rate...
Machine Learning Biomarkers Brain Humans Magnetic Resonance Imaging Deep Learning Alzheimer Disease Female Image Processing, Computer-Assisted Male
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Tiny-objective segmentation for spot signs on multi-phase CT angiography via contrastive learning with dynamic-updated positive-negative memory banks.

Computers in biology and medicine Jul 11, 2025
BACKGROUND AND OBJECTIVE: Presence of spot sign on CT Angiography (CTA) is associated with hematoma growth in patients with intracerebral hemorrhage. Measuring spot sign volume over time may aid to predict hematoma expansion. Due to the difficulties ...
Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Image Processing, Computer-Assisted Cerebral Hemorrhage Machine Learning Humans Algorithms
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ST-CFI: Swin Transformer with convolutional feature interactions for identifying plant diseases.

Scientific reports Jul 11, 2025
The increasing global population, coupled with the diminishing availability of arable land, has rendered the challenge of ensuring food security more pronounced. The prompt and precise identification of plant diseases is essential for reducing crop l...
Plant Diseases Deep Learning Neural Networks, Computer Plant Leaves Image Processing, Computer-Assisted Crops, Agricultural
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Automated assessment of laparoscopic pattern cutting skills using computer vision and deep learning.

Surgery Jul 10, 2025
BACKGROUND: Pattern cutting assessment in Fundamentals of Laparoscopic Surgery currently relies on manual measurement, which can be time-consuming and prone to variability and human error. An automated, objective assessment system could enhance the e...
Humans Clinical Competence Image Processing, Computer-Assisted Reproducibility of Results Deep Learning Laparoscopy
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Enhanced melanoma and non-melanoma skin cancer classification using a hybrid LSTM-CNN model.

Scientific reports Jul 10, 2025
Melanoma is the most dangerous type of skin cancer. Although it accounts for only about 1% of all skin cancer cases, it is responsible for the majority of skin cancer-related deaths. Early detection and accurate diagnosis are crucial for improving th...
Skin Neoplasms Algorithms Humans Melanoma Image Processing, Computer-Assisted Neural Networks, Computer
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Leveraging machine learning techniques for image classification and revealing social media insights into human engagement with urban wild spaces.

Scientific reports Jul 10, 2025
In recent years, machine learning models have exhibited excellent performance and far-reaching impact across domains such as fraud detection in finance, recommendation systems in e-commerce, medical imaging in healthcare, agricultural forecasting, so...
Humans Cities Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning Social Media
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Deformable detection transformers for domain adaptable ultrasound localization microscopy with robustness to point spread function variations.

Scientific reports Jul 10, 2025
Super-resolution imaging has emerged as a rapidly advancing field in diagnostic ultrasound. Ultrasound Localization Microscopy (ULM) achieves sub-wavelength precision in microvasculature imaging by tracking gas microbubbles (MBs) flowing through bloo...
Image Processing, Computer-Assisted Microscopy Deep Learning Humans Microvessels Microbubbles Algorithms Ultrasonography
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Autoimmune gastritis detection from preprocessed endoscopy images using deep transfer learning and moth flame optimization.

Scientific reports Jul 10, 2025
Gastric Tract Disease (GTD) constitutes a medical emergency, emphasizing the critical importance of early diagnosis and intervention to lessen its severity. Clinical practices often utilize endoscopy-supported examinations for GTD screening. The imag...
Humans Gastritis Autoimmune Diseases Deep Learning Image Processing, Computer-Assisted Algorithms Female
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