Cancer Classification Using Pattern Recognition and Computer Vision Techniques
The rapid advancement of DNA microarray technology has significantly contributed to the classification of various cancers, particularly leukemia. However, the high-dimensional nature of gene expression data presents challenges such as data noise and irrelevant features, leading to reduced prediction...
Saved in:
Main Authors: | Haddou Bouazza Sara, Haddou Bouazza Jihad |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2024-01-01
|
Series: | ITM Web of Conferences |
Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_02002.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Advanced Cancer Classification Using AI and Pattern Recognition Techniques
by: Haddou Bouazza Sara, et al.
Published: (2024-01-01) -
Evaluating Machine Learning Models for Prostate Cancer Classification Using Gene Expression Profiles from DNA Microarrays
by: Haddou Bouazza Sara, et al.
Published: (2024-01-01) -
Imaging, Vision, and Pattern Recognition
by: Mourad Zaied, et al.
Published: (2018-01-01) -
Numerical High-Order Model for the Nonlinear Elastic Computation of Helical Structures
by: Fatima Boussaoui, et al.
Published: (2021-01-01) -
Classroom Behavior Recognition Using Computer Vision: A Systematic Review
by: Qingtang Liu, et al.
Published: (2025-01-01)