AIMC Journal:
Medical image analysis

Showing 201 to 210 of 684 articles

HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation.

Medical image analysis May 30, 2023
High performance of deep learning models on medical image segmentation greatly relies on large amount of pixel-wise annotated data, yet annotations are costly to collect. How to obtain high accuracy segmentation labels of medical images with limited ...
Image Processing, Computer-Assisted Entropy Deep Learning Uncertainty Humans
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SGCL: Spatial guided contrastive learning on whole-slide pathological images.

Medical image analysis May 24, 2023
Self-supervised representation learning (SSL) has achieved remarkable success in its application to natural images while falling behind in performance when applied to whole-slide pathological images (WSIs). This is because the inherent characteristic...
Image Interpretation, Computer-Assisted Pathology, Clinical Machine Learning
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Dissecting self-supervised learning methods for surgical computer vision.

Medical image analysis May 24, 2023
The field of surgical computer vision has undergone considerable breakthroughs in recent years with the rising popularity of deep neural network-based methods. However, standard fully-supervised approaches for training such models require vast amount...
Neural Networks, Computer Computers Humans Supervised Machine Learning
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Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics.

Medical image analysis May 23, 2023
Head motion artifacts in magnetic resonance imaging (MRI) are an important confounding factor concerning brain research as well as clinical practice. For this reason, several machine learning-based methods have been developed for the automatic qualit...
Artifacts Humans Machine Learning Deep Learning Magnetic Resonance Imaging Image Processing, Computer-Assisted Brain
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E2EFP-MIL: End-to-end and high-generalizability weakly supervised deep convolutional network for lung cancer classification from whole slide image.

Medical image analysis May 13, 2023
Efficient and accurate distinction of histopathological subtype of lung cancer is quite critical for the individualized treatment. So far, artificial intelligence techniques have been developed, whose performance yet remained debatable on more hetero...
Humans Lung Neoplasms Neural Networks, Computer Area Under Curve China Artificial Intelligence
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From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology.

Medical image analysis Apr 28, 2023
While machine learning is currently transforming the field of histopathology, the domain lacks a comprehensive evaluation of state-of-the-art models based on essential but complementary quality requirements beyond a mere classification accuracy. In o...
Humans Machine Learning Neural Networks, Computer Deep Learning Breast
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Calibrating segmentation networks with margin-based label smoothing.

Medical image analysis Apr 24, 2023
Despite the undeniable progress in visual recognition tasks fueled by deep neural networks, there exists recent evidence showing that these models are poorly calibrated, resulting in over-confident predictions. The standard practices of minimizing th...
Neural Networks, Computer Calibration Humans Entropy Image Processing, Computer-Assisted
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Histopathological bladder cancer gene mutation prediction with hierarchical deep multiple-instance learning.

Medical image analysis Apr 23, 2023
Gene mutation detection is usually carried out by molecular biological methods, which is expensive and has a long-time cycle. In contrast, pathological images are ubiquitous. If clinically significant gene mutations can be predicted only through path...
Humans Urinary Bladder Neoplasms Urinary Bladder Deep Learning Mutation
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Cerebrovascular super-resolution 4D Flow MRI - Sequential combination of resolution enhancement by deep learning and physics-informed image processing to non-invasively quantify intracranial velocity, flow, and relative pressure.

Medical image analysis Apr 22, 2023
The development of cerebrovascular disease is tightly coupled to regional changes in intracranial flow and relative pressure. Image-based assessment using phase contrast magnetic resonance imaging has particular promise for non-invasive full-field ma...
Blood Flow Velocity Image Enhancement Magnetic Resonance Imaging Image Processing, Computer-Assisted Humans Imaging, Three-Dimensional Hemodynamics Deep Learning
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Distribution based MIL pooling filters: Experiments on a lymph node metastases dataset.

Medical image analysis Apr 20, 2023
Histopathology is a crucial diagnostic tool in cancer and involves the analysis of gigapixel slides. Multiple instance learning (MIL) promises success in digital histopathology thanks to its ability to handle gigapixel slides and work with weak label...
Lymphatic Metastasis ROC Curve Humans Machine Learning Algorithms
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