AIMC Topic: Image Processing, Computer-Assisted
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Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection.
Scientific reports
May 16, 2025
Accurate and fully automated pancreas segmentation is critical for advancing imaging biomarkers in early pancreatic cancer detection and for biomarker discovery in endocrine and exocrine pancreatic diseases. We developed and evaluated a deep learning...
AI-assisted diffuse correlation tomography for identifying breast cancer.
Journal of biomedical optics
May 16, 2025
SIGNIFICANCE: Diffuse correlation tomography (DCT) is an emerging technique for the noninvasive measurement of breast microvascular blood flow, whereas its capability to categorize benign and malignant breast lesions has not been extensively validate...
A monocular endoscopic image depth estimation method based on a window-adaptive asymmetric dual-branch Siamese network.
Scientific reports
May 15, 2025
Minimally invasive surgery involves entering the body through small incisions or natural orifices, using a medical endoscope for observation and clinical procedures. However, traditional endoscopic images often suffer from low texture and uneven illu...
Automated high precision PCOS detection through a segment anything model on super resolution ultrasound ovary images.
Scientific reports
May 15, 2025
PCOS (Poly-Cystic Ovary Syndrome) is a multifaceted disorder that often affects the ovarian morphology of women of their reproductive age, resulting in the development of numerous cysts on the ovaries. Ultrasound imaging typically diagnoses PCOS, whi...
Early detection of Alzheimer's disease progression stages using hybrid of CNN and transformer encoder models.
Scientific reports
May 14, 2025
Alzheimer's disease (AD) is a neurodegenerative disorder that affects memory and cognitive functions. Manual diagnosis is prone to human error, often leading to misdiagnosis or delayed detection. MRI techniques help visualize the fine tissues of the ...
Leveraging retinanet based object detection model for assisting visually impaired individuals with metaheuristic optimization algorithm.
Scientific reports
May 8, 2025
Visually impaired individuals suffer many problems in handling their everyday activities like road crossing, writing, finding an object, reading, and so on. However, many navigation methods are available, and efficient object detection (OD) methods f...
Distinct actin microfilament localization during early cell plate formation through deep learning-based image restoration.
Plant cell reports
May 8, 2025
Using deep learning-based image restoration, we achieved high-resolution 4D imaging with minimal photodamage, revealing distinct localization and suggesting Lifeact-RFP-labeled actin microfilaments play a role in initiating cell plate formation. Phra...
Deep learning approach based on a patch residual for pediatric supracondylar subtle fracture detection.
Biomolecules & biomedicine
May 8, 2025
Supracondylar humerus fractures in children are among the most common elbow fractures in pediatrics. However, their diagnosis can be particularly challenging due to the anatomical characteristics and imaging features of the pediatric skeleton. In rec...
Deep learning segmentation of periarterial and perivenous capillary-free zones in optical coherence tomography angiography.
Journal of biomedical optics
May 8, 2025
SIGNIFICANCE: Automated segmentation of periarterial and perivenous capillary-free zones (CFZs) in optical coherence tomography angiography (OCTA) can significantly improve early detection and monitoring of diabetic retinopathy (DR), a leading cause ...
Deep learning-assisted analysis of single-particle tracking for automated correlation between diffusion and function.
Nature methods
May 8, 2025
Subcellular diffusion in living systems reflects cellular processes and interactions. Recent advances in optical microscopy allow the tracking of this nanoscale diffusion of individual objects with unprecedented precision. However, the agnostic and a...
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