Dr. Gerrit Melles Profile

Dr. Gerrit Melles

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 | 18 February 2021 Poster + Presentation + Paper

Early detection of at-risk keratoplasties and prediction of future corneal graft rejection from pre-diagnosis endothelial cell images

Naomi Joseph, Beth Ann Benetz, Harry Menegay, Silke Oellerich, Lamis Baydoun, Gerrit Melles, Jonathan Lass, David Wilson

Proceedings Volume 11597, 115972C (2021) https://doi.org/10.1117/12.2582171

KEYWORDS: Image segmentation, Feature extraction, Cornea, Pathophysiology, Medicine, Machine learning, Lamps, Feature selection

Read Abstract +

The status of the donor tissue post-keratoplasty (post-transplant), whether full or partial thickness, is currently assessed for health, function, and complications via clinical evaluations. This includes detection of visible signs of graft rejection on slit lamp biomicroscopy such as keratic precipitates or edema. Corneal endothelial cell (EC) images are utilized to indirectly assess the health of the cornea post keratoplasty with evidence that morphometric changes may occur prior to clinical signs of rejection. We extracted over 190 novel quantitative features from EC images acquired 1-12 months prior to patients´ rejection diagnosis date, and used random forest (RF) classifiers to predict future rejection. We automatically segmented the cell borders of 171 EC images using a semi-automated segmentation approach: deep learning U-Net segmentation followed by guided manual correction. Following segmentation, we extracted novel quantitative features that robustly represented the cellular morphology from the EC images. We trained and tested a RF classifier using 5-fold cross validation and minimal Redundancy Maximal Relevance (mRMR) feature selection. From the 5-fold cross validation, we report an area under the receiver operating characteristic curve (AUC) of 0.87 ± 0.03, a sensitivity of 0.86 ± 0.12, and a specificity of 0.86 ± 0.10. The results suggest we can accurately predict a patient’s future graft rejection 1- 12 months prior to diagnosis, enabling clinicians to intervene modifying and/or instituting topical corticosteroid therapy earlier with the possibility of lowering graft rejection failures. Success of this classifier could reduce health care costs, patient discomfort, vision loss and the need for repeat keratoplasty.

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