AIMC Topic: Image Processing, Computer-Assisted

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Federated Learning in radiomics: A comprehensive meta-survey on medical image analysis.

Computer methods and programs in biomedicine Apr 19, 2025
Federated Learning (FL) has emerged as a promising approach for collaborative medical image analysis while preserving data privacy, making it particularly suitable for radiomics tasks. This paper presents a systematic meta-analysis of recent surveys ...
Humans Machine Learning Privacy Federated Learning Algorithms Radiomics Surveys and Questionnaires Image Processing, Computer-Assisted Diagnostic Imaging
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Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images.

Scientific reports Apr 19, 2025
The most dangerous form of cancer is breast cancer. This disease is life-threatening because of its aggressive nature and high death rates. Therefore, early discovery increases the patient's survival. Mammography has recently been recommended as diag...
Female Thermography Image Processing, Computer-Assisted Breast Neoplasms Humans Mammography Deep Learning Image Interpretation, Computer-Assisted Algorithms
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Lightweight Multi-Stage Aggregation Transformer for robust medical image segmentation.

Medical image analysis Apr 18, 2025
Capturing rich multi-scale features is essential to address complex variations in medical image segmentation. Multiple hybrid networks have been developed to integrate the complementary benefits of convolutional neural networks (CNN) and Transformers...
Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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U-shaped network combining dual-stream fusion mamba and redesigned multilayer perceptron for myocardial pathology segmentation.

Medical physics Apr 17, 2025
BACKGROUND: Cardiac magnetic resonance imaging (CMR) provides critical pathological information, such as scars and edema, which are vital for diagnosing myocardial infarction (MI). However, due to the limited pathological information in single-sequen...
Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Multilayer Perceptrons Myocardium Heart Myocardial Infarction
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Smartphone-Based SPAD Value Estimation for Jujube Leaves Using Machine Learning: A Study on RGB Feature Extraction and Hybrid Modeling.

Sensors (Basel, Switzerland) Apr 17, 2025
Chlorophyll content in date leaves is critical for fruit quality and yield. Traditional detection methods are usually complex and expensive. This study proposes a rapid detection method for chlorophyll content using smartphone images and machine lear...
Plant Leaves Deep Learning Neural Networks, Computer Color Machine Learning Principal Component Analysis Chlorophyll Image Processing, Computer-Assisted Ziziphus Smartphone
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Feasibility of U-Net model for cerebral arteries segmentation with low-dose computed tomography angiographic images with pre-processing methods.

Scientific reports Apr 17, 2025
Subtraction computed tomography angiography (sCTA) can effectively separate enhanced cerebral arteries from similar signal intensity and proximity (i.e., vertebrae and skull). However, sCTA is not considered mainstream because of the high radiation d...
Cerebral Arteries Datasets as Topic Radiation Dosage Computed Tomography Angiography Deep Learning Humans Image Processing, Computer-Assisted Algorithms
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Identification of cancerous tissues based on residual neural network.

Scientific reports Apr 17, 2025
The identification of cancerous tissues remains challenging due to the complexity of experimental methods and low identification accuracy rates. Therefore, this paper proposes a rapid identification method. We introduce a new theoretical transmission...
Humans Prostate Image Processing, Computer-Assisted Lasers Neural Networks, Computer Rats Algorithms Prostatic Neoplasms Male Animals Convolutional Neural Networks
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VMKLA-UNet: vision Mamba with KAN linear attention U-Net.

Scientific reports Apr 17, 2025
In the domain of medical image segmentation, while convolutional neural networks (CNNs) and Transformer-based architectures have attained notable success, they continue to face substantial challenges. CNNs are often limited in their ability to captur...
Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Deep Learning
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Sensitivity of a deep-learning-based breast cancer risk prediction model.

Physics in medicine and biology Apr 17, 2025
When it comes to the implementation of deep-learning based breast cancer risk (BCR) prediction models in clinical settings, it is important to be aware that these models could be sensitive to various factors, especially those arising from the acquisi...
Risk Middle Aged Risk Assessment Deep Learning Image Processing, Computer-Assisted Mammography Female Aged Breast Neoplasms Humans
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Comparison of CNNs and Transformer Models in Diagnosing Bone Metastases in Bone Scans Using Grad-CAM.

Clinical nuclear medicine Apr 16, 2025
PURPOSE: Convolutional neural networks (CNNs) have been studied for detecting bone metastases on bone scans; however, the application of ConvNeXt and transformer models has not yet been explored. This study aims to evaluate the performance of various...
Neural Networks, Computer Retrospective Studies Female Humans Image Processing, Computer-Assisted Bone Neoplasms Bone and Bones Aged Male Middle Aged
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