Chroma analysis for quantitative immunohistochemistry using active learning

Nilesh Patel; Aiyesha Ma; Rajal Shah; Ishwar Sethi

doi:10.1117/12.653541

15 March 2006 Chroma analysis for quantitative immunohistochemistry using active learning

Nilesh Patel, Aiyesha Ma, Rajal Shah, Ishwar Sethi

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 614448 (2006) https://doi.org/10.1117/12.653541
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

Protein expression analysis has traditionally relied upon visual evaluation of immunohistochemical reaction by a pathologist, who analyzes the grade of staining intensity and estimates the percentage of cells stained in the area of interest. This method is effective in experienced hands but has potential limitations in its reproducibility due to subjectivity between and within operators. These limitations are particularly pronounced in gray areas where a distinction of weak from moderate protein expression can be clinically significant. Some research also suggests that sub localization of the protein expression into different components such as nuclei versus cytoplasm may be of great importance. This distinction can be particularly difficult to quantify using manual methods. In this paper, we formulate the problem of quantitative protein expression analysis as an active learning classification problem, where a very small set of pre-sampled user data is used for understanding expert evaluation. The expert coveted confidence is mapped to derive an uncertainty region to select the supplemental learning data. This is done by posing a structured query to the unknown data set. The newly identified samples are then augmented to the training set for incremental learning. The strength of our algorithm is measured in its ability to learn with minimum user interaction. Chroma analysis results of a Tissue Micro-array (TMA) images are presented to demonstrate the user interaction and learning ability. The chroma analysis results are then processed to obtain quantitative results.

Citation Download Citation

Nilesh Patel, Aiyesha Ma, Rajal Shah, and Ishwar Sethi "Chroma analysis for quantitative immunohistochemistry using active learning", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 614448 (15 March 2006); https://doi.org/10.1117/12.653541

ACCESS THE FULL ARTICLE

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: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Tissues

Proteins

Quantitative analysis

Analytical research

Statistical analysis

Biological research

Cancer

Show All Keywords

Keywords/Phrases

Search In:

Publication Years