AIMC Topic: Image Interpretation, Computer-Assisted

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Automated Quantification of HER2 Amplification Levels Using Deep Learning.

IEEE journal of biomedical and health informatics Jan 7, 2025
HER2 assessment is necessary for patient selection in anti-HER2 targeted treatment. However, manual assessment of HER2 amplification is time-costly, labor-intensive, highly subjective and error-prone. Challenges in HER2 analysis in fluorescence in si...
Humans Female Deep Learning In Situ Hybridization, Fluorescence Breast Neoplasms Image Interpretation, Computer-Assisted Receptor, ErbB-2 Gene Amplification
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A Trustworthy Curriculum Learning Guided Multi-Target Domain Adaptation Network for Autism Spectrum Disorder Classification.

IEEE journal of biomedical and health informatics Jan 7, 2025
Domain adaptation has demonstrated success in classification of multi-center autism spectrum disorder (ASD). However, current domain adaptation methods primarily focus on classifying data in a single target domain with the assistance of one or multip...
Image Interpretation, Computer-Assisted Autism Spectrum Disorder Brain Male Humans Child Machine Learning Female
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Adversarial Exposure Attack on Diabetic Retinopathy Imagery Grading.

IEEE journal of biomedical and health informatics Jan 7, 2025
Diabetic Retinopathy (DR) is a leading cause of vision loss around the world. To help diagnose it, numerous cutting-edge works have built powerful deep neural networks (DNNs) to automatically grade DR via retinal fundus images (RFIs). However, RFIs a...
Deep Learning Fundus Oculi Image Interpretation, Computer-Assisted Retina Diabetic Retinopathy Neural Networks, Computer Humans
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Melanoma Breslow Thickness Classification Using Ensemble-Based Knowledge Distillation With Semi-Supervised Convolutional Neural Networks.

IEEE journal of biomedical and health informatics Jan 7, 2025
Melanoma is considered a global public health challenge and is responsible for more than 90% deaths related to skin cancer. Although the diagnosis of early melanoma is the main goal of dermoscopy, the discrimination between dermoscopic images of in s...
Melanoma Skin Neoplasms Dermoscopy Neural Networks, Computer Databases, Factual Supervised Machine Learning Image Interpretation, Computer-Assisted Deep Learning Convolutional Neural Networks Humans
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Harmonic Wavelet Neural Network for Discovering Neuropathological Propagation Patterns in Alzheimer's Disease.

IEEE journal of biomedical and health informatics Jan 7, 2025
Emerging researchindicates that the degenerative biomarkers associated with Alzheimer's disease (AD) exhibit a non-random distribution within the cerebral cortex, instead following the structural brain network. The alterations in brain networks occur...
Humans Wavelet Analysis Alzheimer Disease Image Interpretation, Computer-Assisted Neural Networks, Computer Brain
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Partial-Label Contrastive Representation Learning for Fine-Grained Biomarkers Prediction From Histopathology Whole Slide Images.

IEEE journal of biomedical and health informatics Jan 7, 2025
In the domain of histopathology analysis, existing representation learning methods for biomarkers prediction from whole slide images (WSIs) face challenges due to the complexity of tissue subtypes and label noise problems. This paper proposed a novel...
Image Interpretation, Computer-Assisted Neoplasms Humans Algorithms Machine Learning Mutation Biomarkers, Tumor
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FDDSeg: Unleashing the Power of Scribble Annotation for Cardiac MRI Images Through Feature Decomposition Distillation.

IEEE journal of biomedical and health informatics Jan 7, 2025
Cardiovascular diseases can be diagnosed with computer assistance when using the magnetic resonance imaging (MRI) image that is produced by the MRI sensor. Deep learning-based scribbling MRI image segmentation has demonstrated impressive results rece...
Humans Algorithms Databases, Factual Deep Learning Magnetic Resonance Imaging Heart Image Interpretation, Computer-Assisted
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Semi-supervised medical image segmentation via weak-to-strong perturbation consistency and edge-aware contrastive representation.

Medical image analysis Jan 6, 2025
Despite that supervised learning has demonstrated impressive accuracy in medical image segmentation, its reliance on large labeled datasets poses a challenge due to the effort and expertise required for data acquisition. Semi-supervised learning has ...
Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Humans Supervised Machine Learning Algorithms
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Automatic image generation and stage prediction of breast cancer immunobiological through a proposed IHC-GAN model.

BMC medical imaging Jan 6, 2025
Invasive breast cancer diagnosis and treatment planning require an accurate assessment of human epidermal growth factor receptor 2 (HER2) expression levels. While immunohistochemical techniques (IHC) are the gold standard for HER2 evaluation, their i...
Image Interpretation, Computer-Assisted Humans Immunohistochemistry Breast Neoplasms Female Image Processing, Computer-Assisted Receptor, ErbB-2 Deep Learning Neoplasm Staging
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Explainable attention based breast tumor segmentation using a combination of UNet, ResNet, DenseNet, and EfficientNet models.

Scientific reports Jan 6, 2025
This study utilizes the Breast Ultrasound Image (BUSI) dataset to present a deep learning technique for breast tumor segmentation based on a modified UNet architecture. To improve segmentation accuracy, the model integrates attention mechanisms, such...
Ultrasonography, Mammary Algorithms Deep Learning Humans Female Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Breast Neoplasms
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