Article-Journal

Mises-Fisher similarity-based boosted additive angular margin loss for breast cancer classification
To enhance the accuracy of breast cancer diagnosis, current practices rely on biopsies and microscopic examinations. However, this …
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An End-to-End Approach for Graph-Based Multi-View Data Clustering
Clustering data from different sources or views is a key challenge in real-world applications. While traditional graph-based methods …
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A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features
Cellular phenotypic heterogeneity is an important hallmark of many biological processes and understanding its origins remains a …
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A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features
Discriminative Feature Learning Through Angular Margin-Based Softmax Losses for Breast Cancer Classification
When many histopathological breast images with different magnification levels need to be analyzed, diagnosing benign or malignant …
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Facial Age Estimation Using Multi-Stage Deep Neural Networks
Over the last decade, the world has witnessed many breakthroughs in artificial intelligence, largely due to advances in deep learning …
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Automatic mapping of aquaculture activity in the Atlantic Ocean
The production of wild fish has remained relatively stable in the last two decades, whereas aquaculture organism production has …
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LCAMix: Local-and-contour aware grid mixing based data augmentation for medical image segmentation
Medical image segmentation often faces challenges related to overfitting, primarily due to the limited and complex training samples. …
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LCAMix: Local-and-contour aware grid mixing based data augmentation for medical image segmentation
DL4MicEverywhere: deep learning for microscopy made flexible, shareable and reproducible
DL4MicEverywhere is a platform that lets users train and implement their models in different computational environments. These …
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DL4MicEverywhere: deep learning for microscopy made flexible, shareable and reproducible
Lung pneumonia severity scoring in chest X-ray images using transformers
To create robust and adaptable methods for lung pneumonia diagnosis and the assessment of its severity using chest X-rays (CXR), access …
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Towards unsupervised radiograph clustering for COVID-19: The use of graph-based multi-view clustering
Automatic classification methods widely used for diagnosing and analyzing COVID-19 cases. These methods assume known labels and rely on …
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