AIMC Topic: Image Processing, Computer-Assisted

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AI integrations with lung cancer screening: Considerations in developing AI in a public health setting.

European journal of cancer (Oxford, England : 1990) Mar 6, 2025
Lung cancer screening implementation has led to expanded imaging of the chest in older, tobacco-exposed populations. Growing numbers of screening cases are also found to have CT-detectable emphysema or elevated levels of coronary calcium, indicating ...
Image Processing, Computer-Assisted Tomography, X-Ray Computed Lung Neoplasms Humans Public Health Artificial Intelligence Early Detection of Cancer
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AI-based association analysis for medical imaging using latent-space geometric confounder correction.

Medical image analysis Mar 6, 2025
This study addresses the challenges of confounding effects and interpretability in artificial-intelligence-based medical image analysis. Whereas existing literature often resolves confounding by removing confounder-related information from latent rep...
Algorithms Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Humans Artificial Intelligence
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Classification method for nailfold capillary images using an optimized sugeno fuzzy ensemble of convolutional neural networks.

Computers in biology and medicine Mar 6, 2025
This study developed a novel binary classification method for analyzing nailfold capillary images associated with the risk of developing sclerosis. The proposed approach combined a Sugeno fuzzy integral inference system with an ensemble of convolutio...
Convolutional Neural Networks Female Nails Fuzzy Logic Image Processing, Computer-Assisted Male Capillaries Humans Neural Networks, Computer
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FFSWOAFuse: Multi-modal medical image fusion via fermatean fuzzy set and whale optimization algorithm.

Computers in biology and medicine Mar 6, 2025
Multi-modal medical image fusion (MMIF) plays a crucial role in obtaining valuable and significant information from different medical modalities. This process has generated a single resultant image that is suitable for better clinical assessments and...
Image Processing, Computer-Assisted Humans Fuzzy Logic Algorithms Multimodal Imaging
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Comparative Study of Deep Transfer Learning Models for Semantic Segmentation of Human Mesenchymal Stem Cell Micrographs.

International journal of molecular sciences Mar 6, 2025
The aim of this study is to conduct a comparative assessment of the effectiveness of neural network models-U-Net, DeepLabV3+, SegNet and Mask R-CNN-for the semantic segmentation of micrographs of human mesenchymal stem cells (MSCs). A dataset of 320 ...
Mesenchymal Stem Cells Semantics Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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UGS-M3F: unified gated swin transformer with multi-feature fully fusion for retinal blood vessel segmentation.

BMC medical imaging Mar 6, 2025
Automated segmentation of retinal blood vessels in fundus images plays a key role in providing ophthalmologists with critical insights for the non-invasive diagnosis of common eye diseases. Early and precise detection of these conditions is essential...
Image Interpretation, Computer-Assisted Retinal Vessels Humans Algorithms Image Processing, Computer-Assisted Deep Learning Fundus Oculi
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Automatic detecting multiple bone metastases in breast cancer using deep learning based on low-resolution bone scan images.

Scientific reports Mar 6, 2025
Whole-body bone scan (WBS) is usually used as the effective diagnostic method for early-stage and comprehensive bone metastases of breast cancer. WBS images with breast cancer bone metastasis have the characteristics of low resolution, small foregrou...
Whole Body Imaging Bone Neoplasms Bone and Bones Female Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Middle Aged Humans Retrospective Studies
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Hybrid feature optimized CNN for rice crop disease prediction.

Scientific reports Mar 6, 2025
The agricultural industry significantly relies on autonomous systems for detecting and analyzing rice diseases to minimize financial and resource losses, reduce yield reductions, improve processing efficiency, and ensure healthy crop production. Adva...
Neural Networks, Computer Algorithms Plant Leaves Oryza Crops, Agricultural Deep Learning Image Processing, Computer-Assisted Plant Diseases
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Prediction of malnutrition in kids by integrating ResNet-50-based deep learning technique using facial images.

Scientific reports Mar 6, 2025
In recent times, severe acute malnutrition (SAM) in India is considered a serious issue as per UNICEF 2022 records. In that record, 35.5% of children under age 5 are stunted, 19.3% are wasted, and 32% are underweight. Malnutrition, defined as these t...
Malnutrition Face Image Processing, Computer-Assisted Body Mass Index Infant Deep Learning Child Humans Child, Preschool Female India Male
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EViT: An Eagle Vision Transformer With Bi-Fovea Self-Attention.

IEEE transactions on cybernetics Mar 6, 2025
Owing to advancements in deep learning technology, vision transformers (ViTs) have demonstrated impressive performance in various computer vision tasks. Nonetheless, ViTs still face some challenges, such as high computational complexity and the absen...
Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Eagles Algorithms Animals
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