Diagnostic Imaging Systems
-10%
portes grátis
Diagnostic Imaging Systems
S. El-Baz, Ayman; Suri, Jasjit S.
Elsevier Science & Technology
10/2026
420
Mole
Inglês
9780323954419
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Artificial Intelligence in Diagnostic Imaging for Modern Medicine
2. Yolo-Based Detection and Segmentation: Advancing Real-Time AI in Medical Imaging
3. Breast Cancer Prediction using Image Processing on Big Data: An Empirical Study for Sustainable Health in 21st Century Lifestyle
4. Segmentation and Classification Techniques using AI and their State-of-the-art for the Human Brain Magnetic Resonance Images (MRI)
5. Efficient Artificial Intelligence Techniques for Brain Tumor Classification: Comprehensive Review and Analysis
6. A Novel Cell Nuclei Semantic Segmentation Network for Childhood Medulloblastoma Histopathological Images
7. Exploring AI Innovations for Enhanced Brain Tumor Imaging and Diagnosis
8. Radioengineering Approach for Brain Activity Restoration after Trauma
9. Comparative Analysis of Fast Fuzzy C-Means and Kernel Fuzzy C-Means Algorithms for 3D Brain Tumor Segmentation on the BraTS MICCAI 2021 Dataset
10. SwinUNet Plus: An Adaptive Hierarchical Attention Network for Endoscopic Image Segmentation
11. A YOLO-Based Model for Brain Tumor Detection in Magnetic Resonance Imaging Scans
12. ECG Classification Based CNN Neural Network Models for Arrhythmia Detection
13. Classification of Brain Tumors using AI and Radiomics Techniques
2. Yolo-Based Detection and Segmentation: Advancing Real-Time AI in Medical Imaging
3. Breast Cancer Prediction using Image Processing on Big Data: An Empirical Study for Sustainable Health in 21st Century Lifestyle
4. Segmentation and Classification Techniques using AI and their State-of-the-art for the Human Brain Magnetic Resonance Images (MRI)
5. Efficient Artificial Intelligence Techniques for Brain Tumor Classification: Comprehensive Review and Analysis
6. A Novel Cell Nuclei Semantic Segmentation Network for Childhood Medulloblastoma Histopathological Images
7. Exploring AI Innovations for Enhanced Brain Tumor Imaging and Diagnosis
8. Radioengineering Approach for Brain Activity Restoration after Trauma
9. Comparative Analysis of Fast Fuzzy C-Means and Kernel Fuzzy C-Means Algorithms for 3D Brain Tumor Segmentation on the BraTS MICCAI 2021 Dataset
10. SwinUNet Plus: An Adaptive Hierarchical Attention Network for Endoscopic Image Segmentation
11. A YOLO-Based Model for Brain Tumor Detection in Magnetic Resonance Imaging Scans
12. ECG Classification Based CNN Neural Network Models for Arrhythmia Detection
13. Classification of Brain Tumors using AI and Radiomics Techniques
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
<p>Neural Engineering; tumor characterization; tumor classification; Data Analysis; Neural Networks; MRI; tumor segmentation; Deep Learning; Artificial Intelligence; dynamic brain imaging; functional brain imaging</p>
1. Artificial Intelligence in Diagnostic Imaging for Modern Medicine
2. Yolo-Based Detection and Segmentation: Advancing Real-Time AI in Medical Imaging
3. Breast Cancer Prediction using Image Processing on Big Data: An Empirical Study for Sustainable Health in 21st Century Lifestyle
4. Segmentation and Classification Techniques using AI and their State-of-the-art for the Human Brain Magnetic Resonance Images (MRI)
5. Efficient Artificial Intelligence Techniques for Brain Tumor Classification: Comprehensive Review and Analysis
6. A Novel Cell Nuclei Semantic Segmentation Network for Childhood Medulloblastoma Histopathological Images
7. Exploring AI Innovations for Enhanced Brain Tumor Imaging and Diagnosis
8. Radioengineering Approach for Brain Activity Restoration after Trauma
9. Comparative Analysis of Fast Fuzzy C-Means and Kernel Fuzzy C-Means Algorithms for 3D Brain Tumor Segmentation on the BraTS MICCAI 2021 Dataset
10. SwinUNet Plus: An Adaptive Hierarchical Attention Network for Endoscopic Image Segmentation
11. A YOLO-Based Model for Brain Tumor Detection in Magnetic Resonance Imaging Scans
12. ECG Classification Based CNN Neural Network Models for Arrhythmia Detection
13. Classification of Brain Tumors using AI and Radiomics Techniques
2. Yolo-Based Detection and Segmentation: Advancing Real-Time AI in Medical Imaging
3. Breast Cancer Prediction using Image Processing on Big Data: An Empirical Study for Sustainable Health in 21st Century Lifestyle
4. Segmentation and Classification Techniques using AI and their State-of-the-art for the Human Brain Magnetic Resonance Images (MRI)
5. Efficient Artificial Intelligence Techniques for Brain Tumor Classification: Comprehensive Review and Analysis
6. A Novel Cell Nuclei Semantic Segmentation Network for Childhood Medulloblastoma Histopathological Images
7. Exploring AI Innovations for Enhanced Brain Tumor Imaging and Diagnosis
8. Radioengineering Approach for Brain Activity Restoration after Trauma
9. Comparative Analysis of Fast Fuzzy C-Means and Kernel Fuzzy C-Means Algorithms for 3D Brain Tumor Segmentation on the BraTS MICCAI 2021 Dataset
10. SwinUNet Plus: An Adaptive Hierarchical Attention Network for Endoscopic Image Segmentation
11. A YOLO-Based Model for Brain Tumor Detection in Magnetic Resonance Imaging Scans
12. ECG Classification Based CNN Neural Network Models for Arrhythmia Detection
13. Classification of Brain Tumors using AI and Radiomics Techniques
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
