Full Description
The book "Cutting-edge Computational Intelligence in Healthcare with Convolution and Kronecker Convolution-based Approaches" discusses how advanced deep learning techniques enhance medical image analysis. These advances offer promising progress in healthcare through improvements in diagnostic accuracy, efficiency in medical image interpretation, and breakthroughs in treatment planning.
The book begins by explaining foundational concepts of deep learning and Convolutional Neural Networks (CNNs) to show how they extract meaningful features from medical images for tasks such as diagnosis and segmentation. It then explores Kronecker convolutions, highlighting their ability to better capture spatial hierarchies, use parameters more efficiently, and adapt to unique medical image characteristics. Subsequent sections cover applications like tumor detection, organ segmentation, and disease classification and examine real-world implementations of AI in diagnostic imaging, precision medicine, and continuous health monitoring through wearable devices. The final section addresses challenges, emerging trends, and future directions, emphasising how these techniques could shape advanced healthcare. Throughout the book, the authors bridge medicine, computer science, and machine learning to address complex problems in medical imaging and healthcare.
Contents
1. Breast cancer: Definition, history, symptoms, causes, worldwide scenario of breast cancer, breast cancer statistics globally
2. Breast cancer pathology, microscopic analysis, stages and classifications
3. Breast cancer molecular pathology, signalling pathways, genetic and epigenetic role
4. Breast cancer diagnosis, tools and techniques
5. Breast cancer treatment using surgical intervention, methods, advantages and disadvantages of surgical intervention
6. Breast cancer treatment using chemotherapy methods, advantages and disadvantages of chemotherapy
7. Breast cancer treatment using radiation therapy, advantages and disadvantages of radiation therapy
8. Breast cancer treatment using immunotherapy, advantages and disadvantages of immunotherapy
9. Problems and side effects with currently used breast cancer treatments
10. Impact of breast cancer on patient's quality of life
11. Prevention Strategies and Public Health: Breast cancer prevention, including lifestyle changes, risk assessment, and early intervention
12. Future trends and innovation in breast cancer diagnosis and treatments
