Deep Learning and Machine Learning Frameworks for Cervical Cancer Screening
Language: English
Published by Pippet Sky Aug 2026, 2026
- Softcover
- New

Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 28.11
Quantity: 2 available
Add to basketItem description from seller
This item is printed on demand - it takes 3-4 days longer - Neuware 118 pp. Englisch.
Seller Inventory # 9798182718349
- Title
- Deep Learning and Machine Learning Frameworks for Cervical Cancer Screening
- Author
- Treven Shylok
- Publisher
- Pippet Sky Aug 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798182718349
- Item weight
- 184 grams
- Dimensions
- 229x152x7 mm
Deep Learning and Machine Learning Frameworks for Cervical Cancer Screening presents a comprehensive exploration of computational intelligence techniques applied to digital pathology, automated cytology, and cervical cancer diagnostic systems. As clinical oncology increasingly adopts computer-assisted diagnostic tools, designing resilient algorithm pipelines to evaluate Papanicolaou smears, colposcopy imagery, and histopathological tissue samples has become a critical engineering discipline. This monograph details the mathematical principles, model architectures, and data processing strategies required to build reliable machine learning models for early detection and risk stratification.
The text examines convolutional neural network architectures, transfer learning strategies, feature extraction routines, and hybrid classification algorithms optimized for complex cellular structures. It addresses fundamental technical challenges including class imbalance in clinical datasets, slide artifact filtering, multi-scale image segmentation, and model interpretability. Designed for biomedical engineers, data scientists, and medical imaging software developers, this volume provides rigorous insights into establishing automated screening systems that enhance diagnostic accuracy and operational efficiency in modern healthcare settings.
2. Short Description
3. Keywords
4. BISAC Subjects
COMPUTERS / Data Science / Data Analytics
5. Thema Subjects
MKD Medical equipment & techniques / Biomedical engineering
UYQ Artificial intelligence & machine learning
MMF Radiology
"Synopsis" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
Shipping rates from Germany to U.S.A.
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BuchWeltWeit Ludwig Meier e.K.
Germany
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