AIMC Topic: Image Interpretation, Computer-Assisted

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Self-Supervised Multi-Scale Multi-Modal Graph Pool Transformer for Sellar Region Tumor Diagnosis.

IEEE journal of biomedical and health informatics Apr 4, 2025
The sellar region tumor is a brain tumor that only exists in the brain sellar, which affects the central nervous system. The early diagnosis of the sellar region tumor subtypes helps clinicians better understand the best treatment and recovery of pat...
Sella Turcica Brain Neoplasms Magnetic Resonance Imaging Supervised Machine Learning Image Interpretation, Computer-Assisted Pituitary Neoplasms Humans Algorithms
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Feature Separation in Diffuse Lung Disease Image Classification by Using Evolutionary Algorithm-Based NAS.

IEEE journal of biomedical and health informatics Apr 4, 2025
In the field of diagnosing lung diseases, the application of neural networks (NNs) in image classification exhibits significant potential. However, NNs are considered "black boxes," making it difficult to discern their decision-making processes, ther...
Neural Networks, Computer Algorithms Humans Lung Diseases Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Lung
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Label-Aware Dual Graph Neural Networks for Multi-Label Fundus Image Classification.

IEEE journal of biomedical and health informatics Apr 4, 2025
Fundus disease is a complex and universal disease involving a variety of pathologies. Its early diagnosis using fundus images can effectively prevent further diseases and provide targeted treatment plans for patients. Recent deep learning models for ...
Humans Retinal Diseases Graph Neural Networks Fundus Oculi Image Interpretation, Computer-Assisted Neural Networks, Computer Deep Learning
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Label-Free Medical Image Quality Evaluation by Semantics-Aware Contrastive Learning in IoMT.

IEEE journal of biomedical and health informatics Apr 4, 2025
With the rapid development of the Internet-of-Medical-Things (IoMT) in recent years, it has emerged as a promising solution to alleviate the workload of medical staff, particularly in the field of Medical Image Quality Assessment (MIQA). By deploying...
Machine Learning Algorithms Image Interpretation, Computer-Assisted Humans Semantics Databases, Factual Diagnostic Imaging
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C2BNet: A Deep Learning Architecture With Coupled Composite Backbone for Parasitic Egg Detection in Microscopic Images.

IEEE journal of biomedical and health informatics Apr 4, 2025
Internet of Medical Things (IoMT) enabled by artificial intelligence (AI) technologies can facilitate automatic diagnosis and management of chronic diseases (e.g., intestinal parasitic infection) based on 2D microscopic images. To improve model perfo...
Humans Image Processing, Computer-Assisted Microscopy Image Interpretation, Computer-Assisted Animals Deep Learning
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Brain tumor segmentation and detection in MRI using convolutional neural networks and VGG16.

Cancer biomarkers : section A of Disease markers Apr 4, 2025
BackgroundIn this research, we explore the application of Convolutional Neural Networks (CNNs) for the development of an automated cancer detection system, particularly for MRI images. By leveraging deep learning and image processing techniques, we a...
Deep Learning Convolutional Neural Networks Neural Networks, Computer Brain Neoplasms Image Interpretation, Computer-Assisted Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging
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CTUSurv: A Cell-Aware Transformer-Based Network With Uncertainty for Survival Prediction Using Whole Slide Images.

IEEE transactions on medical imaging Apr 3, 2025
Image-based survival prediction through deep learning techniques represents a burgeoning frontier aimed at augmenting the diagnostic capabilities of pathologists. However, directly applying existing deep learning models to survival prediction may not...
Uncertainty Deep Learning Humans Image Interpretation, Computer-Assisted Algorithms
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Amyloid-β Deposition Prediction With Large Language Model Driven and Task-Oriented Learning of Brain Functional Networks.

IEEE transactions on medical imaging Apr 3, 2025
Amyloid- positron emission tomography can reflect the Amyloid- protein deposition in the brain and thus serves as one of the golden standards for Alzheimer's disease (AD) diagnosis. However, its practical cost and high radioactivity hinder its applic...
Brain Female Male Deep Learning Aged Large Language Models Humans Alzheimer Disease Positron-Emission Tomography Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Amyloid beta-Peptides
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HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification.

IEEE transactions on medical imaging Apr 3, 2025
Fine-grained classification of whole slide images (WSIs) is essential in precision oncology, enabling precise cancer diagnosis and personalized treatment strategies. The core of this task involves distinguishing subtle morphological variations within...
Uterine Cervical Neoplasms Image Interpretation, Computer-Assisted Humans Algorithms Female Machine Learning
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Adaptive Dual-Axis Style-Based Recalibration Network With Class-Wise Statistics Loss for Imbalanced Medical Image Classification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Apr 3, 2025
Salient and small lesions (e.g., microaneurysms on fundus) both play significant roles in real-world disease diagnosis under medical image examinations. Although deep neural networks (DNNs) have achieved promising medical image classification perform...
Image Processing, Computer-Assisted Calibration Image Interpretation, Computer-Assisted Diagnostic Imaging Algorithms Humans Deep Learning Neural Networks, Computer
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