Unspecified Carlos Parra Profile

Carlos Parra

at Univ Nacional de Colombia

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

Searching patterns in glands for predicting gastric cancer survival

Ricardo Moncayo, Sunny Alfonso, Angel Y. Sánchez, Carlos Parra, Eduardo Romero

Proceedings Volume 11320, 1132015 (2020) https://doi.org/10.1117/12.2550041

KEYWORDS: Cancer, Data analysis, Pathology, Feature extraction, Feature selection, Tumors, Tissues, Biopsy, Databases, Statistical analysis

Read Abstract +

This article presents an entire framework for analyzing survival-related gland features in gastric cancer images. This approach builds upon a previous automatic gland detection, which partitions the tissue into a set of primitive objects (glands) from a binarized version of the hematoxylin channel. Next, gland shape and nuclei are characterized using local and contextual features that include relationships between color or texture from glands and nuclei (5:120 features). A mutual information max-relevance-min-redundancy (mRMR) approach selects hundred features that correlate with patient survival "survival vs not survival (first year)". Finally, ten statistically significant features (test t-student, p < 0:05) were used to set a "one-year" survival. Evaluation was carried out in a set of fourteen cases diagnosed with pre-cancerous gastric lesions or cancer, under a leave-one-out scheme. Results showed an accuracy of 78.57% when predicting the patient survival (less or more than a year), using a QDA Linear & Quadratic Discriminant Analysis. This approach suggests there exist morphometric gland differences among cases with gastric related pathology.

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