Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images

ISBN-13: 9780443139994 / Miękka / 2023 / 280 str.

Spis treści

1. Mammogram Data Analysis: Trends, Challenges, and Future Directions
2. AI in Breast Imaging: Applications, Challenges and Future Research
3. Prediction of Breast Cancer Diagnosis Using a Random Forest Classifier
4. Medical Image Analysis of masses in Mammography using Deep Learning model for Earlier Diagnosis of Cancer Tissues
5. A framwork for breast cancer diagnostics based on MobileNetV2 and LSTM-based deep learning
6. Autoencoder based dimensionality reduction in 3D breast images for efficient classification with processing by deep learning architectures
7. Prognosis of breast cancer using machine learning classifiers
8. Breast cancer diagnosis through microcalification
9. Scutinization of Mammogram Images using deep learning
10. Computational Techniques for Analysis of Breast Cancer Using Molecular Breast Imaging
11. Machine learning and deep learning techniques for breast cancer detection using ultrasound imaging
12. Efficient Transfer Learning Techniques for Breast Cancer Histopathological Image Classification
13. Classification of breast cancer histopathological images based on shape and texture attributes with ensemble machine learning methods
14. An automatic level set segmentation of breast Tumor from mammogram images using optimized Fuzzy c-means clustering