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Whole Slide Image sentence examples within convolutional neural network



Boosting Breast Cancer Detection Using Convolutional Neural Network



Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics


Whole Slide Image sentence examples within deep learning model



Identification of nodal micrometastasis in colorectal cancer using deep learning on annotation-free whole-slide images



The Crohn’s-like lymphoid reaction density: a new artificial intelligence quantified prognostic immune index in colon cancer


Whole Slide Image sentence examples within deep learning algorithm



Histopathological Diagnosis System for Gastritis Using Deep Learning Algorithm.



Artificial Intelligence-Based Screening for Mycobacteria in Whole-Slide Images of Tissue Samples.



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Histopathological Diagnosis System for Gastritis Using Deep Learning Algorithm.


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10.1038/s41551-020-00682-w

Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images


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10.1101/2021.07.07.21260138

PathML: A unified framework for whole-slide image analysis with deep learning


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10.3389/fonc.2021.623382

Computational Image Analysis Identifies Histopathological Image Features Associated With Somatic Mutations and Patient Survival in Gastric Adenocarcinoma


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10.1523/ENEURO.0177-21.2021

An automated approach to improve the quantification of pericytes and microglia in whole mouse brain sections.


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10.1109/access.2021.3104724

Automatic Diagnostic Tool for Predicting Cancer Grade in Bladder Cancer Patients Using Deep Learning


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10.1038/s41598-021-81506-y

Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic images


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10.21203/RS.3.RS-608551/V1

Multinomial Classification of Patterns in Lung Cancer Biopsy Slides Using Customized Convolutional Neural Network


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10.1088/1742-6596/1813/1/012033

Data Analysis for Risk Prediction of Cervical Cancer Metastasis and Recurrence Based on DCNN-RF


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10.1038/s41379-021-00838-2

Identification of nodal micrometastasis in colorectal cancer using deep learning on annotation-free whole-slide images


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10.1200/JCO.2021.39.15_SUPPL.3061

Machine learning models to quantify HER2 for real-time tissue image analysis in prospective clinical trials.


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10.1101/2021.08.20.21262366

A composite biomarker for esophageal cancer risk from automated analysis of a non-endoscopic device


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10.1007/s00262-021-03079-z

The Crohn’s-like lymphoid reaction density: a new artificial intelligence quantified prognostic immune index in colon cancer


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10.1109/TCBB.2021.3062230

Sampling Based Tumor Recognition in Whole-slide Histology Image with Deep Learning Approaches.



Boosting Breast Cancer Detection Using Convolutional Neural Network


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10.1038/s41598-021-84510-4

Deep learning systems detect dysplasia with human-like accuracy using histopathology and probe-based confocal laser endomicroscopy


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10.1101/2021.01.06.425539

Pixelwise H-score: a novel digital image analysis-based metric to quantify membrane biomarker expression from immunohistochemistry images


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10.3389/fonc.2021.759007

Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides


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10.1200/JCO.2021.39.15_SUPPL.E21012

Distinct subset of immune cells assessed by multiplex immunohistochemistry correlates with immune phenotype classified by an artificial intelligence-powered tissue analyzer in advanced non-small cell lung cancer.


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10.1016/j.cmpb.2021.106047

Deep learning-based tumor microenvironment analysis in colon adenocarcinoma histopathological whole-slide images


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10.1109/ICIP42928.2021.9506198

UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading



PodoSighter: A Cloud-Based Tool for Label-Free Podocyte Detection in Kidney Whole Slide Images.


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10.1038/s41598-021-93746-z

CAD systems for colorectal cancer from WSI are still not ready for clinical acceptance


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10.1097/PAP.0000000000000322

A Review of Artificial Intelligence in Precise Assessment of Programmed Cell Death-ligand 1 and Tumor-infiltrating Lymphocytes in Non-Small Cell Lung Cancer.


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10.1101/2021.04.29.442048

An automated approach to improve the speed and accuracy of pericyte and microglia quantification in whole mouse brain sections


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10.1158/1557-3265.ADI21-PO-069

Abstract PO-069: A deep learning model assists urine cytology reporting with computational estimates of the nuclear/cytoplasmic ratios of the urothelial cells based on the Paris System


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10.1007/s00428-021-03187-2

Regional disturbance of the distribution of T regulatory cells and T helper cells associated with irregular-shaped germinal centers in immunoglobulin G4-related sialadenitis


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10.1016/j.breast.2021.02.007

Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics



Deep Learning for the Classification of Non-Hodgkin Lymphoma on Histopathological Images


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10.1016/j.ajpath.2021.05.004

A Deep Learning-Based Approach for Glomeruli Instance Segmentation from Multistained Renal Biopsy Pathologic Images.


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10.6061/clinics/2021/e3198

Detecting and grading prostate cancer in radical prostatectomy specimens through deep learning techniques


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10.1038/s41374-021-00537-1

Quantitative analysis of abnormalities in gynecologic cytopathology with deep learning



A Pyramid Architecture-Based Deep Learning Framework for Breast Cancer Detection


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10.1007/s11517-021-02388-w

A Whole Slide Image Grading Benchmark and Tissue Classification for Cervical Cancer Precursor Lesions with Inter-Observer Variability


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10.1016/j.compbiomed.2021.104743

Wide & Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems


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10.2174/1574893616666210708143556

Cervical Cancer Metastasis and Recurrence Risk Prediction Based on Deep Convolutional Neural Network


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10.1001/jamanetworkopen.2020.30939

Development and Validation of a Deep Learning Model to Quantify Glomerulosclerosis in Kidney Biopsy Specimens



Classification of Diffuse Glioma Subtype from Clinical-Grade Pathological Images Using Deep Transfer Learning


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10.1136/jclinpath-2021-207524

Evaluation of an open-source machine-learning tool to quantify bone marrow plasma cells



Deep learning quantified mucus-tumor ratio predicting survival of patients with colorectal cancer using whole-slide images


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10.1038/s41374-021-00601-w

Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning


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10.1016/j.media.2021.101996

Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture


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10.1016/j.ajpath.2021.07.012

Characterizing intra-tumor and inter-tumor variability of immune cell infiltrates in murine syngeneic tumors.


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10.1109/JBHI.2020.3032060

Measuring Domain Shift for Deep Learning in Histopathology



Histological grading of the prostate carcinoma using deep learning: an unsupervised approach



Colorimetrical evaluation of color normalization methods for H&E-stained images


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10.1007/s40620-020-00948-1

Using digital whole-slide images to evaluate renal amyloid deposition and its association with clinical features and outcomes of AL amyloidosis


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10.1182/bloodadvances.2020003410

The effect of platelet G proteins on platelet extravasation and tumor growth in the murine model of ovarian cancer.



Automated end-to-end deep learning framework for classification and tumor localization from native non-stained pathology images


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10.1038/s41598-021-93783-8

A fuzzy rank-based ensemble of CNN models for classification of cervical cytology



Artificial Intelligence-Based Screening for Mycobacteria in Whole-Slide Images of Tissue Samples.



Combatting out-of-distribution errors using model-agnostic meta-learning for digital pathology


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10.3748/wjg.v27.i27.4395

Role of artificial intelligence in multidisciplinary imaging diagnosis of gastrointestinal diseases



U-Net based Active Learning Framework for Enhancing Cancer Immunotherapy


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10.3389/fmolb.2021.651588

Nanogenomics and Artificial Intelligence: A Dynamic Duo for the Fight Against Breast Cancer



Reproducibility in deep learning algorithms for digital pathology applications: a case study using the CAMELYON16 datasets



Development of a Deep Learning Model to Assist with Diagnosis of Hepatocellular Carcinoma


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10.1007/978-3-030-87237-3_25

Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations


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10.1038/s41374-020-00514-0

Artificial intelligence and computational pathology


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10.1590/0102-672020210002e1608

SOFTWARE-ASSISTED IMAGE ANALYSIS FOR IDENTIFICATION AND QUANTIFICATION OF HEPATIC SINUSOIDAL DILATATION AND CENTRILOBULAR FIBROSIS.


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10.1200/JCO.2021.39.15_SUPPL.9026

Clinical performance of artificial intelligence-powered annotation of tumor cell PD-L1 expression for treatment of immune-checkpoint inhibitor (ICI) in advanced non-small cell lung cancer (NSCLC).



Flextilesource: An openseadragon extension for efficient whole-slide image visualization



Deep Learning for Automatic Subclassification of Gastric Carcinoma Using Whole-Slide Histopathology Images



AF-SENet: Classification of Cancer in Cervical Tissue Pathological Images Based on Fusing Deep Convolution Features



Artificial intelligence for automating the measurement of histologic image biomarkers.


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10.1038/s41598-020-80610-9

Convolutional autoencoder based model HistoCAE for segmentation of viable tumor regions in liver whole-slide images


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10.1038/s41467-021-21467-y

An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning


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10.1007/s10120-021-01158-9

Deep learning system for lymph node quantification and metastatic cancer identification from whole-slide pathology images


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10.3389/fmolb.2021.689799

Whole-Slide Image Analysis of Human Pancreas Samples to Elucidate the Immunopathogenesis of Type 1 Diabetes Using the QuPath Software


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10.1038/s41467-021-21674-7

Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning


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10.1016/j.jconrel.2021.06.039

GANDA: A deep generative adversarial network conditionally generates intratumoral nanoparticles distribution pixels-to-pixels.


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10.1109/JBHI.2020.3003475

Quantitative Whole Slide Assessment of Tumor-Infiltrating CD8-Positive Lymphocytes in ER-Positive Breast Cancer in Relation to Clinical Outcome



Remote Reporting During a Pandemic Using Digital Pathology Solution: Experience from a Tertiary Care Cancer Center



Automated Computational Detection of Interstitial Fibrosis, Tubular Atrophy, and Glomerulosclerosis.


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10.1016/j.media.2020.101854

PAIP 2019: Liver cancer segmentation challenge


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10.1038/s41598-021-83102-6

Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy


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10.1177/0192623321993756

Special Issue on Digital Pathology, Tissue Image Analysis, Artificial Intelligence, and Machine Learning: Approximation of the Effect of Novel Technologies on Toxicologic Pathology


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10.1038/s41467-021-21896-9

Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes


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10.1371/journal.pone.0245638

Pixelwise H-score: A novel digital image analysis-based metric to quantify membrane biomarker expression from immunohistochemistry images


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10.1016/j.media.2020.101890

HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images


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10.1016/j.media.2020.101814

Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images


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10.1200/JCO.2021.39.15_SUPPL.9045

Predicting response to pembrolizumab in non-small cell lung cancer, by analyzing the spatial arrangement of tumor infiltrating lymphocytes using deep learning.


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10.1101/2021.01.19.21250122

Novel deep learning algorithm predicts the status of molecular pathways and key mutations in colorectal cancer from routine histology images


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10.1038/s41585-021-00467-z

The dawning of the age of artificial intelligence in urology


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10.3390/ELECTRONICS10080954

Efficient Stain-Aware Nuclei Segmentation Deep Learning Framework for Multi-Center Histopathological Images


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10.1016/J.MEDIA.2020.101816

Selective synthetic augmentation with HistoGAN for improved histopathology image classification


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10.1177/0192623320986423

Evaluation of the Use of Single- and Multi-Magnification Convolutional Neural Networks for the Determination and Quantitation of Lesions in Nonclinical Pathology Studies



Assessment of Immunological Features in Muscle-Invasive Bladder Cancer Prognosis Using Ensemble Learning



A Multi-Channel and Multi-Spatial Attention Convolutional Neural Network for Prostate Cancer ISUP Grading


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10.21203/RS.3.RS-495066/V1

PAI-WSIT: a Comprehensive Curated Resource for Cancerous Pathology With Deep Learning


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10.1016/j.ebiom.2021.103388

Deep learning predicts gene expression as an intermediate data modality to identify susceptibility patterns in Mycobacterium tuberculosis infected Diversity Outbred mice



Digital Pathology-based Study of Cell- and Tissue-level Morphologic Features in Serous Borderline Ovarian Tumor and High-grade Serous Ovarian Cancer


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10.1101/2020.08.01.231639

Topological Feature Extraction and Visualization of Whole Slide Images using Graph Neural Networks


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10.23919/FRUCT52173.2021.9435562

Color-Optimized One-Pixel Attack Against Digital Pathology Images


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