Dr. Giovanni Maria Rossi Profile

Dr. Giovanni Maria Rossi

at Johns Hopkins Univ

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 16 March 2020 Paper

Fully automated classification of glomerular lesions in lupus nephritis

Brandon Ginley, Kuang-Yu Jen, Avi Rosenberg, Giovanni Maria Rossi, Sanjay Jain, Pinaki Sarder

Proceedings Volume 11320, 113200Y (2020) https://doi.org/10.1117/12.2548528

KEYWORDS: Biopsy, Image segmentation, Tissues, Diagnostics, Medicine, Pathology, Kidney, RGB color model, Silver, Feature extraction

Read Abstract +

Systemic lupus erythematosus is a disease in which the immune system attacks host tissues. One organ commonly attacked is the kidney, in which case the resultant acute and chronic damages are called lupus nephritis. The accumulated damage can result in renal failure. The percutaneous renal biopsy is invaluable to the assessment of the disease and its therapeutic response. A large portion of the pathological assessment is done by histological analysis of the biopsied tissue with light microscopy. Computational models can alleviate a portion of expert disagreement by providing unified, reproducible quantifications of digitized image structures. In this work, we perform fully automated whole slide segmentation of glomeruli from Periodic Acid- Schiff (PAS), hematoxylin and eosin, silver, and trichrome stained lupus nephritis biopsies. The automatically extracted PAS glomeruli are quantified by a set of 285 hand-crafted features designed specifically to target glomerular lesions in lupus nephritis. These features are fed in sequence to a recurrent neural network architecture which views multiple glomerular features from a single biopsy, and outputs a continuous diagnostic value representative of classes II-V of the scheme by Weening et al1. On 82 whole slide images taken from 65 patients, compared to renal pathologist annotations and using only the PAS stain, the network achieved a Cohen’s kappa of 0.42 with 95% confidence interval [0.32, 0.52] to render the correct class chosen from II-V, and 0.56, 95% CI [0.43, 0.69] to render an additional class V diagnosis when required.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years