Intelligent Computing in Carcinogenic Disease Detection / by Kaushik Das Sharma, Subhajit Kar, Madhubanti Maitra.

Format:

Book

Author/Creator:

Das Sharma, Kaushik.

Contributor:

Kar, Subhajit.

Maitra, Madhubanti.

Series:

Computational Intelligence Methods and Applications, 2510-1773

Language:

English

Subjects (All):

Artificial intelligence--Data processing.

Artificial intelligence.

Computer science.

Engineering--Data processing.

Engineering.

Data Science.

Theory and Algorithms for Application Domains.

Data Engineering.

Local Subjects:

Data Science.

Theory and Algorithms for Application Domains.

Data Engineering.

Physical Description:

1 online resource (189 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

This book draws on a range of intelligent computing methodologies to effectively detect and classify various carcinogenic diseases. These methodologies, which have been developed on a sound foundation of gene-level, cell-level and tissue-level carcinogenic datasets, are discussed in Chapters 1 and 2. Chapters 3, 4 and 5 elaborate on several intelligent gene selection methodologies such as filter methodologies and wrapper methodologies. In addition, various gene selection philosophies for identifying relevant carcinogenic genes are described in detail. In turn, Chapters 6 and 7 tackle the issues of using cell-level and tissue-level datasets to effectively detect carcinogenic diseases. The performance of different intelligent feature selection techniques is evaluated on cell-level and tissue-level datasets to validate their effectiveness in the context of carcinogenic disease detection. In closing, the book presents illustrative case studies that demonstrate the value of intelligent computing strategies.

Contents:

Chapter 1. Introduction

Chapter 2. Biological Background of Benchmark Carcinogenic Data Sets

Chapter 3. Intelligent Computing Approaches for Carcinogenic Disease Detection: A Review

Chapter 4. Classical Approaches in Gene Evaluation for Carcinogenic Disease Detection

Chapter 5. Intelligent Computing Approach in Gene Evaluation for Carcinogenic Disease Detection

Chapter 6. Intelligent Computing Approach for Leukocyte Identification

Chapter 7. Intelligent Computing Approach for Lung Nodule Detection

Chapter 8. Conclusion

Index.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9724-24-4

OCLC:

1434243224