Opening book details…
Can I read Convolutional Neural Networks and Stacked Generalization Ensemble Method in Breast Cancer Prognosis on EtoBox?
Convolutional Neural Networks and Stacked Generalization Ensemble Method in Breast Cancer Prognosis by Tahmina Akter Tisha; Mir Moynuddin Ahmed Shibly; Kowshik Ahmed; Shamim H. Ripon is a science book available to read on EtoBox.
What is Convolutional Neural Networks and Stacked Generalization Ensemble Method in Breast Cancer Prognosis about?
Computational Intelligence in Cancer Diagnosis: Progress and Challenges provides insights into the current strength and weaknesses of different applications and research findings on computational intelligence in cancer research. The book improves the exchange of ideas and coherence among various computational intelligence methods and enhances the relevance and exploitation of application areas for both experienced and novice end-users. Topics discussed include neural networks, fuzzy logic, conne
Who reads Convolutional Neural Networks and Stacked Generalization Ensemble Method in Breast Cancer Prognosis?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Tahmina Akter Tisha; Mir Moynuddin Ahmed Shibly; Kowshik Ahmed; Shamim H. Ripon
- Publisher
- Elsevier Science & Technology
- Published
- 2023
- Language
- EN
- ISBN
- 9780323852401
- Category
- science
- Subjects
- Biology, Science, Stem
- Updated
- 2026-03-25
More by Tahmina Akter Tisha; Mir Moynuddin Ahmed Shibly; Kowshik Ahmed; Shamim H. Ripon
Browse all works by Tahmina Akter Tisha; Mir Moynuddin Ahmed Shibly; Kowshik Ahmed; Shamim H. Ripon
Similar books
- Breast Cancer Histopathological Image Classification Using Convolutional Neural Networks — Ankita Adhikari; Ashesh Roy Choudhuri; Debanjana Ghosh; Neela Chattopadhyay; Rupak Chakraborty (2021)
- Skin Cancer Classification Using Different Backbones of Convolutional Neural Networks — Anh T. Huynh; Van-Dung Hoang; Sang Vu; Trong T. Le; Hien D. Nguyen (2022)
- Convolutional Neural Networks — Walter Hugo Lopez Pinaya; Sandra Vieira; Rafael Garcia-Dias; Andrea Mechelli (2020)
- Lung Cancer Detection from LDCT Images Using Deep Convolutional Neural Networks — Shahad Alghamdi; Mariam Alabkari; Fatima Aljishi; Ghazanfar Latif; Abul Bashar (2021)
- Lung Tumor Detection and Recognition Using Deep Convolutional Neural Networks — Shehabeldin Solyman; Friedhelm Schwenker (2023)
- Convolutional Neural Networks and Recurrent Neural Networks — Pranav A. Nerurkar (2022)