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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
A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization
In recent years, semi-supervised learning on graphs has gained importance in many fields and applications. The goal is to use both …
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Blood cell revolution: Unveiling 11 distinct types with ‘Naturalize’ augmentation
Artificial intelligence (AI) has emerged as a cutting-edge tool, simultaneously accelerating, securing, and enhancing the diagnosis and …
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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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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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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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CNN based facial aesthetics analysis through dynamic robust losses and ensemble regression
In recent years, estimating beauty of faces has attracted growing interest in the fields of computer vision and machine learning. This …
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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
Direct multi-view spectral clustering with consistent kernelized graph and convolved nonnegative representation
Multi-view clustering attempts to partition unlabeled objects into clusters by making full use of complementary and consistent …
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Folded: A toolkit to describe mammalian herbivore dentition from 2D images
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