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3SGAN: Semisupervised and Multitask GAN for Stain Normalization and Nuclei Segmentation of Histopathological Images

https://doi.org/10.2139/ssrn.4665554
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inferredcites →https://doi.org/10.1007/978-3-030-59722-1_30openalex-extracted
Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance
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U-Net: Convolutional Networks for Biomedical Image Segmentation
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Standardization of reagents and methods used in cytological and histological practice with emphasis on dyes, stains and chromogenic reagents
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Efficient Combination of CNN and Transformer for Dual-Teacher Uncertainty-guided Semi-supervised Medical Image Segmentation
inferredcites →https://doi.org/10.1016/j.cmpb.2023.107632openalex-extracted
Segmentation of paracentral acute middle maculopathy lesions in spectral-domain optical coherence tomography images through weakly supervised deep convolutional networks
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Image analysis and machine learning in digital pathology: Challenges and opportunities
inferredcites →https://doi.org/10.1016/j.media.2019.101552openalex-extracted
Generative adversarial network in medical imaging: A review
inferredcites →https://doi.org/10.1016/j.media.2020.101813openalex-extracted
Deep neural network models for computational histopathology: A survey
inferredcites →https://doi.org/10.1016/j.media.2021.102005openalex-extracted
Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced images
inferredcites →https://doi.org/10.1016/j.media.2022.102481openalex-extracted
Meta multi-task nuclei segmentation with fewer training samples
inferredcites →https://doi.org/10.1016/j.system.2013.01.022openalex-extracted
Corrective feedback preferences and learner repair among advanced ESL students
inferredcites →https://doi.org/10.1038/s41591-019-0539-7openalex-extracted
An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis
inferredcites →https://doi.org/10.1097/pai.0000000000000003openalex-extracted
A Review on Color Normalization and Color Deconvolution Methods in Histopathology
inferredcites →https://doi.org/10.1109/38.946629openalex-extracted
Color transfer between images
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-extracted
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2018.00963openalex-extracted
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network
inferredcites →https://doi.org/10.1109/cvprw.2009.5206848openalex-extracted
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-extracted
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
inferredcites →https://doi.org/10.1109/isbi.2019.8759152openalex-extracted
Staingan: Stain Style Transfer for Digital Histological Images
inferredcites →https://doi.org/10.1109/tbme.2014.2303294openalex-extracted
A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution
inferredcites →https://doi.org/10.1109/tmi.2016.2529665openalex-extracted
Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images
inferredcites →https://doi.org/10.1109/tmi.2017.2677499openalex-extracted
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology
inferredcites →https://doi.org/10.1109/tmi.2020.3046334openalex-extracted
Multi-Task Multi-Domain Learning for Digital Staining and Classification of Leukocytes
inferredcites →https://doi.org/10.1109/tmi.2021.3059726openalex-extracted
Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization
inferredcites →https://doi.org/10.1109/tmi.2021.3069874openalex-extracted
Unpaired Stain Transfer Using Pathology-Consistent Constrained Generative Adversarial Networks
inferredcites →https://doi.org/10.1146/annurev-pathol-011811-120902openalex-extracted
Digital Imaging in Pathology: Whole-Slide Imaging and Beyond
inferredcites →https://doi.org/10.48550/arxiv.1411.4038openalex-extracted
Fully Convolutional Networks for Semantic Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1804.03999openalex-extracted
Attention U-Net: Learning Where to Look for the Pancreas
inferredcites →https://doi.org/10.48550/arxiv.1905.00546openalex-extracted
Billion-scale semi-supervised learning for image classification
inferredcites →https://doi.org/10.48550/arxiv.2003.08797openalex-extracted
Teacher-Student chain for efficient semi-supervised histology image classification
inferredcites →https://doi.org/10.48550/arxiv.2008.02101openalex-extracted
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance
inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-extracted
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
inferredcites →https://doi.org/10.48550/arxiv.2102.04306openalex-extracted
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
inferredcites →https://doi.org/10.5555/3327757.3327944openalex-extracted
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
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