AIMC Topic: Image Processing, Computer-Assisted

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Gradient-driven pixel connectivity convolutional neural networks classification based on U-Net lung nodule segmentation.

Medical engineering & physics Jun 3, 2025
Lung cancer is a significant global health issue, heavily burdening healthcare systems. Early detection is crucial for improving patient outcomes. This study proposes a diagnostic aid system for the early detection and classification of lung nodules ...
Image Processing, Computer-Assisted Lung Neoplasms Deep Learning Convolutional Neural Networks Tomography, X-Ray Computed Lung Humans Neural Networks, Computer
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Radiomics and deep learning characterisation of liver malignancies in CT images - A systematic review.

Computers in biology and medicine Jun 3, 2025
BACKGROUND: Computed tomography (CT) has been widely used as an effective tool for liver imaging due to its high spatial resolution, and ability to differentiate tissue densities, which contributing to comprehensive image analysis. Recent advancement...
Humans Neural Networks, Computer Tomography, X-Ray Computed Radiomics Image Processing, Computer-Assisted Deep Learning Liver Neoplasms
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FPA-based weighted average ensemble of deep learning models for classification of lung cancer using CT scan images.

Scientific reports Jun 3, 2025
Cancer is among the most dangerous diseases contributing to rising global mortality rates. Lung cancer, particularly adenocarcinoma, is one of the deadliest forms and severely impacts human life. Early diagnosis and appropriate treatment significantl...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Neural Networks, Computer Algorithms Humans
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FIAN: A frequency information-adaptive network for spatial-frequency domain pansharpening.

PloS one Jun 3, 2025
Pansharpening aims to combine the spatial information from high-resolution panchromatic (PAN) images with the spectral information from low-resolution multispectral (LRMS) images generating high-resolution multispectral (HRMS) images. While Convoluti...
Algorithms Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Accelerating 3D radial MPnRAGE using a self-supervised deep factor model.

Magnetic resonance in medicine Jun 2, 2025
PURPOSE: To develop a self-supervised and memory-efficient deep learning image reconstruction method for 4D non-Cartesian MRI with high resolution and a large parametric dimension.
Image Interpretation, Computer-Assisted Phantoms, Imaging Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Brain Deep Learning Imaging, Three-Dimensional Humans Neural Networks, Computer
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MobileTurkerNeXt: investigating the detection of Bankart and SLAP lesions using magnetic resonance images.

Radiological physics and technology Jun 2, 2025
The landscape of computer vision is predominantly shaped by two groundbreaking methodologies: transformers and convolutional neural networks (CNNs). In this study, we aim to introduce an innovative mobile CNN architecture designed for orthopedic imag...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer
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SASWISE-UE: Segmentation and synthesis with interpretable scalable ensembles for uncertainty estimation.

Computers in biology and medicine Jun 2, 2025
This paper introduces an efficient sub-model ensemble framework aimed at enhancing the interpretability of medical deep learning models, thus increasing their clinical applicability. By generating uncertainty maps, this framework enables end-users to...
Uncertainty Magnetic Resonance Imaging Algorithms Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans
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ViTU-net: A hybrid deep learning model with patch-based LSB approach for medical image watermarking and authentication using a hybrid metaheuristic algorithm.

Computers in biology and medicine Jun 2, 2025
In modern healthcare, telemedicine, health records, and AI-driven diagnostics depend on medical image watermarking to secure chest X-rays for pneumonia diagnosis, ensuring data integrity, confidentiality, and authenticity. A 2024 study found over 70 ...
Algorithms Deep Learning Image Processing, Computer-Assisted Computer Security Humans
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Direct parametric reconstruction in dynamic PET using deep image prior and a novel parameter magnification strategy.

Computers in biology and medicine Jun 2, 2025
BACKGROUND/PURPOSE: Multiple parametric imaging in positron emission tomography (PET) is challenging due to the noisy dynamic data and the complex mapping to kinetic parameters. Although methods like direct parametric reconstruction have been propose...
Deep Learning Image Processing, Computer-Assisted Humans Algorithms Positron-Emission Tomography Phantoms, Imaging
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Deep learning approaches to surgical video segmentation and object detection: A scoping review.

Computers in biology and medicine Jun 2, 2025
INTRODUCTION: Computer vision (CV) has had a transformative impact in biomedical fields such as radiology, dermatology, and pathology. Its real-world adoption in surgical applications, however, remains limited. We review the current state-of-the-art ...
Humans Deep Learning Image Processing, Computer-Assisted Video Recording
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