AIMC Topic: Image Interpretation, Computer-Assisted

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Development and routine implementation of deep learning algorithm for automatic brain metastases segmentation on MRI for RANO-BM criteria follow-up.

NeuroImage Jan 10, 2025
RATIONALE AND OBJECTIVES: The RANO-BM criteria, which employ a one-dimensional measurement of the largest diameter, are imperfect due to the fact that the lesion volume is neither isotropic nor homogeneous. Furthermore, this approach is inherently ti...
Follow-Up Studies Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Algorithms Male Female Middle Aged Deep Learning Aged Adult Brain Neoplasms
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Multiparametric MRI for Assessment of the Biological Invasiveness and Prognosis of Pancreatic Ductal Adenocarcinoma in the Era of Artificial Intelligence.

Journal of magnetic resonance imaging : JMRI Jan 9, 2025
Pancreatic ductal adenocarcinoma (PDAC) is the deadliest malignant tumor, with a grim 5-year overall survival rate of about 12%. As its incidence and mortality rates rise, it is likely to become the second-leading cause of cancer-related death. The r...
Algorithms Prognosis Deep Learning Humans Artificial Intelligence Carcinoma, Pancreatic Ductal Image Interpretation, Computer-Assisted Contrast Media Pancreas Neoplasm Invasiveness Multiparametric Magnetic Resonance Imaging Pancreatic Neoplasms
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Accelerated High-resolution T1- and T2-weighted Breast MRI with Deep Learning Super-resolution Reconstruction.

Academic radiology Jan 9, 2025
RATIONALE AND OBJECTIVES: To assess the performance of an industry-developed deep learning (DL) algorithm to reconstruct low-resolution Cartesian T1-weighted dynamic contrast-enhanced (T1w) and T2-weighted turbo-spin-echo (T2w) sequences and compare ...
Humans Algorithms Signal-To-Noise Ratio Deep Learning Contrast Media Adult Prospective Studies Magnetic Resonance Imaging Breast Breast Neoplasms Female Aged Middle Aged Image Interpretation, Computer-Assisted Image Enhancement
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PADS-Net: GAN-based radiomics using multi-task network of denoising and segmentation for ultrasonic diagnosis of Parkinson disease.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 8, 2025
Parkinson disease (PD) is a prevalent neurodegenerative disorder, and its accurate diagnosis is crucial for timely intervention. We propose the PArkinson disease Denoising and Segmentation Network (PADS-Net), to simultaneously denoise and segment tra...
Image Interpretation, Computer-Assisted Algorithms Signal-To-Noise Ratio Radiomics Humans Deep Learning Ultrasonography Neural Networks, Computer Mesencephalon Image Processing, Computer-Assisted Parkinson Disease
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Effective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction.

BMC medical imaging Jan 8, 2025
PROBLEM: Breast cancer is a leading cause of death among women, and early detection is crucial for improving survival rates. The manual breast cancer diagnosis utilizes more time and is subjective. Also, the previous CAD models mostly depend on manma...
Humans Algorithms Female Breast Neoplasms Deep Learning Ultrasonography, Mammary Image Interpretation, Computer-Assisted
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Deep Learning-Based Super-Resolution Reconstruction on Undersampled Brain Diffusion-Weighted MRI for Infarction Stroke: A Comparison to Conventional Iterative Reconstruction.

AJNR. American journal of neuroradiology Jan 8, 2025
BACKGROUND AND PURPOSE: DWI is crucial for detecting infarction stroke. However, its spatial resolution is often limited, hindering accurate lesion visualization. Our aim was to evaluate the image quality and diagnostic confidence of deep learning (D...
Image Interpretation, Computer-Assisted Aged Signal-To-Noise Ratio Aged, 80 and over Humans Diffusion Magnetic Resonance Imaging Deep Learning Adult Male Retrospective Studies Stroke Middle Aged Female
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Automated Idiopathic Normal Pressure Hydrocephalus Diagnosis via Artificial Intelligence-Based 3D T1 MRI Volumetric Analysis.

AJNR. American journal of neuroradiology Jan 8, 2025
BACKGROUND AND PURPOSE: Idiopathic normal pressure hydrocephalus (iNPH) is reversible dementia that is underdiagnosed. The purpose of this study was to develop an automated diagnostic method for iNPH using artificial intelligence techniques with a T1...
Aged, 80 and over Male Imaging, Three-Dimensional Algorithms Female Aged Image Interpretation, Computer-Assisted Hydrocephalus, Normal Pressure Magnetic Resonance Imaging Parkinson Disease Alzheimer Disease Humans Artificial Intelligence
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Abductive multi-instance multi-label learning for periodontal disease classification with prior domain knowledge.

Medical image analysis Jan 7, 2025
Machine learning is widely used in dentistry nowadays, offering efficient solutions for diagnosing dental diseases, such as periodontitis and gingivitis. Most existing methods for diagnosing periodontal diseases follow a two-stage process. Initially,...
Image Interpretation, Computer-Assisted Humans Machine Learning Periodontal Diseases
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Graph neural networks in histopathology: Emerging trends and future directions.

Medical image analysis Jan 7, 2025
Histopathological analysis of whole slide images (WSIs) has seen a surge in the utilization of deep learning methods, particularly Convolutional Neural Networks (CNNs). However, CNNs often fail to capture the intricate spatial dependencies inherent i...
Image Interpretation, Computer-Assisted Graph Neural Networks Humans Neural Networks, Computer Deep Learning
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Multi-scale feature fusion of deep convolutional neural networks on cancerous tumor detection and classification using biomedical images.

Scientific reports Jan 7, 2025
In the present scenario, cancerous tumours are common in humans due to major changes in nearby environments. Skin cancer is a considerable disease detected among people. This cancer is the uncontrolled evolution of atypical skin cells. It occurs when...
Skin Neoplasms Deep Learning Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms
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