ECP 2023

Sep 09 - Sep 13, 2023 | Dublin, Ireland / Virtual (Hybrid)

Share this page

Close Tooltip
Copy Link Tooltip

Copy page URL

Predicting Cell-of-origin for Diffuse Large B-cell Lymphoma Patients (DLBCL) using Explainable Feature Based Model

Authors Lin P, Shaikh N, Porwal P, Jayachandran S, Gu Q, Li X, Nie Y, K Korski

Published date09 September, 2023

This study compares use of two deep learning models for cell of origin classification of whole slide images of haematoxylin and eosin-stained pathology slides from patients with diffuse large B-cell lymphoma and identifies cellular features that impact on model prediction.

Download Current View

Welcome to Medically

The Roche Science Hub

This website is a non-promotional global resource intended to facilitate transparent scientific exchange regarding developments in medical research, diagnostics, and disease management. It is intended for healthcare professionals.

Not a healthcare professional? Browse:

This global website is intended for healthcare professionals outside the UK, US, Canada and Australia. The content on this website may include scientific information about experimental or investigational compounds, indications and services that are not approved or valid in your jurisdiction. Registration status and prescribing information of medicinal products may differ between countries. Please refer to local product information for any medicinal products mentioned on this website. Information available on this website does not constitute professional medical advice, and Roche and Genentech accept no responsibility for access to or use of the same.

You are Leaving Medically

By following this link, you are leaving Roche Website and entering a site that is not owned or controlled by Roche. Roche does not take any responsibility for acces to or use of this website, nor for any content therein.

You are Leaving the Global Medically Site

By following this link, you are being redirected to another Roche page.