Description



Table of Contents
1. Microscopy Cancer Cell Imaging in B-Lineage Acute Lymphoblastic Leukemia 2. Computational Applications in Brain and Breast Cancer 3. Deep Neural Networks and Advanced Computer Vision Algorithms in The Early Diagnosis of Skin Diseases 4. An Accurate Deep Learning-Based CAD System For Early Diagnosis Of Prostate Cancer 5. Adaptive Graph Convolutional Neural Network and its Biomedical Applications 6. Deep Slice Interpolation via Marginal Super-Resolution, Fusion and Refinement 7. New Explainable Deep CNN Design for Classifying Breast Tumor Response over Neoadjuvant Chemotherapy 8. Deep Learning Interpretability: Measuring The Relevance of Clinical Concepts in CNN Features 9. Computational Lung Sound Classification: A Review 10. Clinical Applications of Machine Learning in Heart Failure 11. Role of AI and Radiomics in Diagnosing Renal Tumors: A Survey 12. Texture-Centric Diagnostic Models for Thyroid-Cancer Using Convolutional Neural Networks: Bridging the Gap Between Radiomics and Microscopic Domains

State of the Art in Neural Networks and Their Applications

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    A Paperback by Jasjit S. Suri, Ayman S. El-Baz

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      Publisher: Elsevier Science
      Publication Date: 12/2/2022 12:00:00 AM
      ISBN13: 9780128198728, 978-0128198728
      ISBN10: 0128198729

      Description



      Table of Contents
      1. Microscopy Cancer Cell Imaging in B-Lineage Acute Lymphoblastic Leukemia 2. Computational Applications in Brain and Breast Cancer 3. Deep Neural Networks and Advanced Computer Vision Algorithms in The Early Diagnosis of Skin Diseases 4. An Accurate Deep Learning-Based CAD System For Early Diagnosis Of Prostate Cancer 5. Adaptive Graph Convolutional Neural Network and its Biomedical Applications 6. Deep Slice Interpolation via Marginal Super-Resolution, Fusion and Refinement 7. New Explainable Deep CNN Design for Classifying Breast Tumor Response over Neoadjuvant Chemotherapy 8. Deep Learning Interpretability: Measuring The Relevance of Clinical Concepts in CNN Features 9. Computational Lung Sound Classification: A Review 10. Clinical Applications of Machine Learning in Heart Failure 11. Role of AI and Radiomics in Diagnosing Renal Tumors: A Survey 12. Texture-Centric Diagnostic Models for Thyroid-Cancer Using Convolutional Neural Networks: Bridging the Gap Between Radiomics and Microscopic Domains

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