Research graph
References from Keep it accurate and robust: An enhanced nuclei analysis framework. Local targets link to admitted publications; unresolved targets remain external evidence.
Efficient staining-invariant nuclei segmentation approach using self-supervised deep contrastive network
10.3390/diagnostics12123024 · 2022 · External reference
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2018 · External reference
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2021 · External reference
Tumour mutational burden as a driver for treatment choice in resistant tumours (and beyond)
10.1016/s1470-2045(20)30433-2 · 2020 · External reference
10.1007/978-3-642-21551-3_33
10.1007/978-3-642-21551-3_33 · 2012 · External reference
Cascade r-cnn: high quality object detection and instance segmentation
2019 · External reference
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2022 · External reference
An expert system for the detection of cervical cancer cells using knowledge-based image analyzer
10.1016/0933-3657(95)00021-6 · 1996 · External reference
A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis
10.1016/j.eswa.2011.01.120 · 2011 · External reference
Deep neural networks segment neuronal membranes in electron microscopy images
2012 · External reference
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2013 · External reference
Image-guided decision support system for pathology
10.1007/s001380050104 · 1999 · External reference
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2021 · External reference
Attention augmented distance regression and classification network for nuclei instance segmentation and type classification in histology images
10.1016/j.bspc.2022.104199 · 2023 · External reference
Diagnostic concordance among pathologists interpreting breast biopsy specimens
10.1001/jama.2015.1405 · 2015 · External reference
10.1111/j.1365-2559.1991.tb00229.x
10.1111/j.1365-2559.1991.tb00229.x · External reference
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2021 · External reference
Colorectal carcinoma: pathologic aspects
2012 · External reference
Relevance of immune cell and tumor microenvironment imaging in the new era of immunotherapy
10.1186/s13046-020-01586-y · 2020 · External reference
10.1007/978-3-030-23937-4_2
10.1007/978-3-030-23937-4_2 · 2019 · External reference
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Mild-net: minimal information loss dilated network for gland instance segmentation in colon histology images
10.1016/j.media.2018.12.001 · 2019 · External reference
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2021 · External reference
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Hover-net: simultaneous segmentation and classification of nuclei in multi-tissue histology images
2019 · External reference
Nuclear image analysis of immunohistochemically stained cells in breast carcinomas
10.1007/bf01457662 · 1996 · External reference
Efficient multi-organ multi-center cell nuclei segmentation method based on deep learnable aggregation network
2021 · External reference
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2017 · External reference
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2016 · External reference
10.1016/j.media.2020.101892
10.1016/j.media.2020.101892 · External reference
10.1016/j.media.2024.103143
10.1016/j.media.2024.103143 · External reference
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2018 · External reference
Methods for nuclei detection, segmentation, and classification in digital histopathology: a review—current status and future potential
10.1109/rbme.2013.2295804 · 2013 · External reference
10.1007/978-3-031-72114-4_47
10.1007/978-3-031-72114-4_47 · External reference
10.1038/nrd2683
10.1038/nrd2683 · External reference
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2016 · External reference
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2019 · External reference
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2023 · External reference
Data mining process
10.1016/b978-0-12-801460-8.00002-1 · 2015 · External reference
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2018 · External reference
Fully convolutional network ensembles for white matter hyperintensities segmentation in mr images
10.1016/j.neuroimage.2018.07.005 · 2018 · External reference
Libd3c: ensemble classifiers with a clustering and dynamic selection strategy
10.1016/j.neucom.2013.08.004 · 2014 · External reference
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2021 · External reference
10.1038/s41374-018-0095-7
10.1038/s41374-018-0095-7 · External reference
Ensemble based systems in decision making
10.1109/mcas.2006.1688199 · 2006 · External reference
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2018 · External reference
Clinical genetics and outcome of left ventricular non-compaction cardiomyopathy
10.1093/eurheartj/ehx545 · 2017 · External reference
Evolving support vector machines using fruit fly optimization for medical data classification
10.1016/j.knosys.2016.01.002 · 2016 · External reference
10.1016/j.media.2016.08.008
10.1016/j.media.2016.08.008 · External reference
10.1109/tmi.2016.2525803
10.1109/tmi.2016.2525803 · External reference
Novel digital signatures of tissue phenotypes for predicting distant metastasis in colorectal cancer
10.1038/s41598-018-31799-3 · 2018 · External reference
Deep neural network models for computational histopathology: a survey
2020 · External reference
10.1109/tmi.2021.3085712
10.1109/tmi.2021.3085712 · External reference
Mulvernet: nucleus segmentation and classification of pathology images using the hover-net and multiple filter units
10.3390/electronics12020355 · 2023 · External reference
An improved hover-net for nuclear segmentation and classification in histopathology images
10.1007/s00521-023-08394-3 · 2023 · External reference
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2022 · External reference
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2020 · External reference
Automatic ki-67 counting using robust cell detection and online dictionary learning
10.1109/tbme.2013.2291703 · 2013 · External reference
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2016 · External reference
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2021 · External reference
Predicting diabetes mellitus with machine learning techniques
10.3389/fgene.2018.00515 · 2018 · External reference
A pathology foundation model for cancer diagnosis and prognosis prediction
2024 · External reference
CoNIC Challenge: pushing the frontiers of nuclear detection, segmentation, classification and counting
10.1016/j.media.2023.103047 · 2024 · External reference
