Share
Hybrid Soft Computing Algorithms for the diagnosis of Cervical Cancer (in English)
Hemalatha Kulala
(Author)
·
Usha Rani Kuruba
(Author)
·
Scholars' Press
· Paperback
Hybrid Soft Computing Algorithms for the diagnosis of Cervical Cancer (in English) - Kulala, Hemalatha ; Kuruba, Usha Rani
$ 54.47
$ 64.69
You save: $ 10.22
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Friday, June 21 and
Monday, June 24.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Hybrid Soft Computing Algorithms for the diagnosis of Cervical Cancer (in English)"
In real world many problems could not be solved using conventional problem solving methods. So efficient problem solving methods are necessary. Soft Computing is such an efficient problem solving method. It provides effective solutions in various fields such as Engineering, Patter Recognition and Medical Diagnosis than the traditional problem solving methods. The main objective of this book is to propose Hybrid Soft Computing algorithms for efficient classification of Cervical Pap smear images. Medical Images has significant role in the identification of a disease. Manual diagnosis of disease may lead to human errors and time consuming. Therefore, Medical Image Processing is essential in the diagnosis of Cervical Cancer through Pap smear image. To overcome the limitation of manual Cervical Cancer diagnosis effective Computer Aided Diagnosis (CAD) is necessary. The key components of Soft Computing techniques such as Fuzzy Logic, Genetic Algorithm and Meta-heuristic algorithms are experimented in this book.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.
