#PathVisions20 Poster Presentations

 

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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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