Readings Newsletter
Become a Readings Member to make your shopping experience even easier.
Sign in or sign up for free!
You’re not far away from qualifying for FREE standard shipping within Australia
You’ve qualified for FREE standard shipping within Australia
The cart is loading…
This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This work represents a significant advance in the field of early detection of breast cancer by implementing an innovative system based on advanced image processing methods. The approach adopted is of key importance in the context of aiding medical diagnosis through the analysis of medical imaging, focusing specifically on mammography. The innovative methods developed in this work are aimed at improving the accuracy and efficiency of early-stage detection of breast tumors. The uniqueness of this approach also lies in its rigorous validation on the basis of images from the "Mias" database, demonstrating its innovative potential and practical usefulness for the early detection of breast cancer.
$9.00 standard shipping within Australia
FREE standard shipping within Australia for orders over $100.00
Express & International shipping calculated at checkout
This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This work represents a significant advance in the field of early detection of breast cancer by implementing an innovative system based on advanced image processing methods. The approach adopted is of key importance in the context of aiding medical diagnosis through the analysis of medical imaging, focusing specifically on mammography. The innovative methods developed in this work are aimed at improving the accuracy and efficiency of early-stage detection of breast tumors. The uniqueness of this approach also lies in its rigorous validation on the basis of images from the "Mias" database, demonstrating its innovative potential and practical usefulness for the early detection of breast cancer.