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POSTER TITLE
1
Remote Access for Whole Slide Imaging Activities for Pathology Residents
2
Computer assisted approach to improve the detection of Tall Cell Variant of Papillary Thyroid Carcinoma
3
Convolutional neural network-based mitosis detection for cancer graduation
5
National Pathology Imaging Co-operative (NPIC): scaling up digital pathology and transforming the UKs diagnostic industry through AI
6
Deep learning identified an imaging biomarker of granuloma necrosis that is under distinct genetic control in experimental infection with Mycobacterium tuberculosis
7
Fractal Compression: An Old Technique for the New Challenge of Whole Slide Imaging Storage
8
Real Time, Point-of-Care Pathology Diagnosis via Embedded Deep Learning
10
Predicting p16 Immunohistochemical Staining in Cervical Biopsies on H&E Images using a Deep Learning Algorithm
11
COVID Challenges, Digital Solutions
12
AI estimation of gestational age based on microscopic appearance of placental villi
13
Building a Low-Cost Whole Slide Imaging (WSI) System in a Basic Research Lab: Lessons and Successes
14
Pushed Across the Digital Divide: COVID-19 accelerated pathology training onto a new digital learning curve
15
Tumor Tissue Identification Technology by Estimating Features of Immunostaining Images from Hematoxylin-Eosin Stained Images using Convolutional Neural Networks
16
Copy Number Analysis and Mutational Signature of Mature B-cell Neoplasms Using an in-house Custom Bioinformatic Pipeline
17
Cross Cancer Deep Interactive Learning with Reduced Manual Training Annotation for Pancreatic Tumor Segmentation
18
Deep Learning Based Mitoses Recognition and Concordance Study with Pathologists
19
Color Calibration for Digital Cytology Scanner
20
Deep Learning Based Segmentation & Grading of Pancreatic Intraepithelial Neoplasia
22
Characterization of the 3D microanatomy of the pancreas and pancreatic cancer in situ at single cell resolution
23
Upconversion Nanoparticles as a tool for histopathological tissue evaluation with multiplexing and machine learning potential
24
A feasibility study utlizing DNA-barcoded multiplex fluorescence IHC for immune profiling in the tumor microenvironment of bladder and lung samples
25
Performance of automated classification of diagnostic entities in dermatopathology
27
Automated Non-Tumor Segmentation to Improve Tumor Detection and Analysis using Modified U-NET Networks
28
Classification of Non-Small Cell Lung Cancer Adenocarcinoma via Interactive Annotation Representation Learning
29
Multi-center weakly supervised computational pathology on whole slide images using federated learning
30
Digital Pathology Validation Study for Frozen Section Diagnosis at the University of Kentucky
31
From Multiplex Immunostaining to Tissue Cytometry: Development of biologically guided segmentation strategies for quantitative image analysis
32
Spatial heterogeneity of CD3, CD4, CD8, CD20, and FoxP3 immune markers in triple-negative breast cancer analyzed using digital pathology
34
Do IHC results from single 2D histological sections reflect biomarker density in 3D tumor specimens in mouse tumor models?
35
Deep Learning Algorithm for Biomarker Classification on Multiplexed Immunofluorescence Images using Repel Coding
36
Visualisation of Artificial Intelligence Model for Classification of Colorectal Cancer
37
A Deep Learning Convolutional Neural Network Can Differentiate Between Most Clinically Relevant Patterns of Colitis
38
Image analysis in oncology research: an institutional experience in how to overcome obstacles and obtain reliable data
39
Grundium versus Glass: A look at the use of the Grundium Ocus as a Telepathology Tool for Surgical Pathology and Cytopathology
40
Morphological features computed using deep learning for an annotated digital DLBCL image set
41
Deployment of a multi-tissue AI-based quality control system in routine clinical workflow
42
The first deployment of an AI-based solution for cancer detection in a US pathology lab
43
Digital Pathology Tools and the COVID-19 Pandemic: Insights and Practices from an Academic Institution
44
Deep learning of attention-guided multimodal histopathology search on social media
45
Active Learning System for Digital Pathology: A New Tool for Interactive Optimization of Classifier Models
46
Automated Identification of Necrotic Regions in Digital Images of Multiplex Immunofluorescence Stained Tissue Using Deep Learning
47
Computational pathology: an increasingly growing field that requires training and interaction between pathologists and computer scientists
48
Visual Risk Pattern Informatics Speeds Rapid Triage of Multimorbid Patients to Avert Sequential, Interactive Critical Organ Failure
49
Red Blood Cell Artifacts Identification in Multiplexed Immunofluorescence Image Using Deep Learning
50
Digital-Image Analysis of Tumor Infiltrating Lymphocytes in Prostate Cancer Using Automated Whole Slide Imaging and Tissue Microarray
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October 17-19 | Las Vegas, NV
