Article-Journal

LGCOAMix: Local and Global Context-and-Object-Part-Aware Superpixel-Based Data Augmentation for Deep Visual Recognition
Cutmix-based data augmentation, which uses a cut-and-paste strategy, has shown remarkable generalization capabilities in deep learning. …
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LGCOAMix: Local and Global Context-and-Object-Part-Aware Superpixel-Based Data Augmentation for Deep Visual Recognition
Sample-weighted fused graph-based semi-supervised learning on multi-view data
Research in semi-supervised learning on graphs has attracted more and more attention in recent years, as learning on graphs is applied …
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White blood cell classification: Convolutional Neural Network (CNN) and Vision Transformer (ViT) under medical microscope
Deep learning (DL) has made significant advances in computer vision with the advent of vision transformers (ViTs). Unlike convolutional …
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Chasing a Better Decision Margin for Discriminative Histopathological Breast Cancer Image Classification
When considering a large dataset of histopathologic breast images captured at various magnification levels, the process of …
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Current progress and challenges in large-scale 3D mitochondria instance segmentation
In this paper, we present the results of the MitoEM challenge on mitochondria 3D instance segmentation from electron microscopy images, …
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Current progress and challenges in large-scale 3D mitochondria instance segmentation
CartoCell, a high-content pipeline for 3D image analysis, unveils cell morphology patterns in epithelia
Decades of research have not yet fully explained the mechanisms of epithelial self-organization and 3D packing. Single-cell analysis of …
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Boosted Additive Angular Margin Loss for breast cancer diagnosis from histopathological images
Pathologists use biopsies and microscopic examination to accurately diagnose breast cancer. This process is time-consuming, …
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Optimizing Video Analytics Deployment for In-Flight Cabin Readiness Verification
This paper proposes an approach to optimize the deployment of on-board video analytics for checking the correct positioning of luggage …
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Optimizing Video Analytics Deployment for In-Flight Cabin Readiness Verification
Single phase multi-view clustering using unified graph learning and spectral representation
The most widely used multi-view clustering approaches can be classified into different groups: Subspace multi-view clustering …
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3D Domain Adaptive Instance Segmentation Via Cyclic Segmentation GANs
3D instance segmentation for unlabeled imaging modalities is a challenging but essential task as collecting expert annotation can be …
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3D Domain Adaptive Instance Segmentation Via Cyclic Segmentation GANs