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08/03/2023
Reference-Free Isotropic 3D EM Reconstruction using Diffusion Models
Electron microscopy (EM) images exhibit anisotropic axial resolution due...
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07/03/2023
CGAM: Click-Guided Attention Module for Interactive Pathology Image Segmentation via Backpropagating Refinement
Tumor region segmentation is an essential task for the quantitative anal...
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06/26/2023
Histopathology Image Classification using Deep Manifold Contrastive Learning
Contrastive learning has gained popularity due to its robustness with go...
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06/25/2023
Scribble-supervised Cell Segmentation Using Multiscale Contrastive Regularization
Current state-of-the-art supervised deep learning-based segmentation app...
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06/25/2023
DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets
Nuclei segmentation and classification is a significant process in patho...
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02/21/2023
I2V: Towards Texture-Aware Self-Supervised Blind Denoising using Self-Residual Learning for Real-World Images
Although the advances of self-supervised blind denoising are significant...
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09/03/2021
MitoVis: A Visually-guided Interactive Intelligent System for Neuronal Mitochondria Analysis
Neurons have a polarized structure, including dendrites and axons, and c...
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06/10/2021
RLCorrector: Reinforced Proofreading for Connectomics Image Segmentation
The segmentation of nanoscale electron microscopy (EM) images is crucial...
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02/19/2021
ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising
With the advent of advances in self-supervised learning, paired clean-no...
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12/07/2020
Noise2Kernel: Adaptive Self-Supervised Blind Denoising using a Dilated Convolutional Kernel Architecture
With the advent of recent advances in unsupervised learning, efficient t...
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06/23/2020
Scribble2Label: Scribble-Supervised Cell Segmentation via Self-Generating Pseudo-Labels with Consistency
Segmentation is a fundamental process in microscopic cell image analysis...
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05/14/2020
Reinforced Coloring for End-to-End Instance Segmentation
Instance segmentation is one of the actively studied research topics in ...
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07/25/2017
ssEMnet: Serial-section Electron Microscopy Image Registration using a Spatial Transformer Network with Learned Features
The alignment of serial-section electron microscopy (ssEM) images is cri...
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12/16/2016