Kapak Resmi

Intelligent Computing in Carcinogenic Disease Detection

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...

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Detaylı Bibliyografya
Asıl Yazarlar: Das Sharma, Kaushik (Yazar), Kar, Subhajit (Yazar), Maitra, Madhubanti (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: Elektronik Ekitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edisyon:1st ed. 2024.
Seri Bilgileri:Computational Intelligence Methods and Applications,
Konular:
Artificial intelligence > Data processing.
Computer science.
Engineering > Data processing.
Data Science.
Theory and Algorithms for Application Domains.
Data Engineering.
Online Erişim:https://doi.org/10.1007/978-981-97-2424-6
Etiketler: Etiketle
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İçindekiler:
  • 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.

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