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Digital Pathology Resources

Welcome to the Digital Pathology resources page: a curated list of presentation videos, slide decks, reports and posters.

These resources were produced from our Digital Pathology series of events. The next related conferences are:

Presentation Videos

Accelerating the impact of AI through 100% digitization of pathology workflow

Panel discussion featuring Peter Hamilton, David Snead, Jo Martin, Juan Antonio Retamero Diaz and Neil Mesher

How Digitisation Can Improve Pathology Service – the Danish Experience

Vera Jacqueline Marita Timmermans, Clinical Associate Professor, Part-time Lecturer

Nuclear Morphometry and Cancer Biomarker Development

Professor of Biomedical Sciences, Pathology Director, Translational Pathology & Scientific Director of Translational Research Core, Cedars-Sinai

Migrating Algorithms Beyond the Development Sandbox

Eric Wirch, CTO & Managing Director at Corista

Applications of Artificial Intelligence for Immuno-oncology and Precision Medicine

George Lee, Bristol-Myers Squibb

Interpretable Discriminative Modelling of Cellular Phenotypes for Digital Pathology

Gustavo Rohde, Associate Professor, Biomedical Engineering & Electrical and Computer Engineering, University of Virginia

Reports

The Benefits of Computational Pathology

The Future Development of Digital Pathology: Technologies, Implications for Pathology Labs and the Likely FDA Regulatory Responses

Digital Pathology as a Diagnostic Tool

Poster Presentations

Preliminary Studies in the use of the Foldscope Paper Microscope for Diagnostic Analysis of Crystals in Urine: Issues in the Analysis of Liquid Samples and Potential Applications in Low Budget/Low Tech Regions of the World

R. Calder, MetroWest Medical Center, D. Stevens, Good Samaritan Hospital Medical Center, Z. Leifer, NYCPM

Distinction of Benign and Malignant Breast Histology Through Deep Learning

Jerome Cheng, MD Department of Pathology, Michigan Medicine, Ann Arbor, Michigan

Biomarker Colocalization Analysis of a Virtual 12-plex using Discovery Chromogenic Dyes and Tissuealign Co-Registration Software

Benjamin Freiberg and Regan Baird, Visiopharm

Multimodal Image Analysis: Relationship Between Pathological Image and Microscopic Ultrasound Image

S. Kashio, T. Ogawa, K. Nakano, et al., Graduate School of Science and Engineering, Chiba University

Truthful Promotion of Pathology – Building Nonfictional Models of the World to Train Sentient Artificial Intelligence

Ishita Moghe and Kim Solez, University of Alberta, Edmonton, Alberta, Canada

Machine Learning Approach to Tumor Immune Infiltrate Analysis from H&E Images

Rishi R. Rawat, Madiha Hussain, David B. Agus, et al., Lawrence J. Ellison Institute for Transformative Medicine, USC

Automatic Detection of Slides to Rescan for Whole Slide Imaging Scanner

Hossain Md Shakhawat, Tokyo Institute of Technology, Tomoya Nakamura, Japan Science and Technology Agency, Fumikazu Kimura, Shinshu University et al

A Deep Learning-based Model of Normal Histology

Tobias Sing, Imtiaz Hossain, Holger Hoefling et al, Novartis Institutes for BioMedical Research

Toward the Automation of Fluorescence In Situ Hybridization (FISH) Scoring Using a Confocal Whole Slide Image Scanner and Image Analysis Software

Naohiro Uraoka, Xiujun Fu, Paul Matises, et al., Memorial Sloan Kettering Cancer Center, New York

Presentation Slides

An Image Retrieval System for Digital Pathology

Manfredo Atzori, HES-SO, Valais-Wallis

Digital Pathology at John Hopkins

Alexander Baras, Assistant Professor, Oncology, Urology, & Oncology

PRS: Co-resident Objective Measure of IHC Stain Performance for Process QC and Diagnostic Aid

Frederick Husher, Chief R&D, PRS Ltd.

Applied Digital Pathology in Colon and Lung Cancer Research

Viktor H. Koelzer, Pathologist & SNSF Research Fellow, University of Oxford and University of Birmingham

Implementation of day-to-day Digital Pathology in the US market

Drazen M. Jukic, Associate Professor, University of Florida

Open and Collaborative Software for Digital Pathology

Raphael Maree, Research Fellow, University of Liège

Digital Pathology – Implementing it in a Leading Cancer Centre

Pedro Oliveira, Pathologist, Hospital da Luz

Digital Pathology Customer Survey Results – 100% digital slides

Jasper Peeters, Head of Product Management Digital Pathology Solutions, Philips