Automatic detection of translocation t(9;22) using Siamese architecture

Mohammed El Amine Bechar; Nesma Settouti; Jean-Marie Guyader; Marwa El Bouz; Nathalie Douet-Guilbert; Ayman Al Falou; Marie-Bérengère Troadec

doi:10.1117/12.3013641

7 June 2024 Automatic detection of translocation t(9;22) using Siamese architecture

Mohammed El Amine Bechar, Nesma Settouti, Jean-Marie Guyader, Marwa El Bouz, Nathalie Douet-Guilbert, Ayman Al Falou, Marie-Bérengère Troadec

Author Affiliations +

Proceedings Volume 13040, Pattern Recognition and Prediction XXXV; 130400Q (2024) https://doi.org/10.1117/12.3013641
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Conference Poster

Abstract

Chromosomal translocations involve the exchange of segments between non-homologous chromosomes. The Philadephia chromosome, known as t(9;22) abnormality, is an example of translocation linked with chronic myeloid leukemias. This study leverages the capabilities of a modified Siamese architecture for the automated detection of this translocation. Highlighting its superior image recognition capabilities, this modified Siamese architecture, an innovative alternative to conventional Convolutional Neural Networks (CNNs), processes images by effectively capturing both local and global image details without the inherent biases found in traditional image analysis methods. This work underscores the specific capabilities and advantages of the proposed Siamese architecture, emphasizing its crucial role in overcoming the limitations of traditional diagnostic methods in identifying the t(9;22) translocation, and its potential to significantly enhance genetic diagnostics.

Citation Download Citation

Mohammed El Amine Bechar, Nesma Settouti, Jean-Marie Guyader, Marwa El Bouz, Nathalie Douet-Guilbert, Ayman Al Falou, and Marie-Bérengère Troadec "Automatic detection of translocation t(9;22) using Siamese architecture", Proc. SPIE 13040, Pattern Recognition and Prediction XXXV, 130400Q (7 June 2024); https://doi.org/10.1117/12.3013641

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