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Loại |
Chi tiết |
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Sách, tạp chí |
| Tiêu đề: |
Hiển Thị Trực Quan Các Bộ Phận Cơ Thể Từ Ảnh Chụp CT |
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| [2] Ljung, Patric, et al, "State of the Art in Transfer Functions for Direct Volume Rendering," Computer Graphics Forum, vol. 35, no. 3, pp. 669-691, 2016 |
Sách, tạp chí |
| Tiêu đề: |
State of the Art in Transfer Functions for Direct Volume Rendering |
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Sách, tạp chí |
| Tiêu đề: |
Texture-based transfer functions for direct volume rendering |
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Sách, tạp chí |
| Tiêu đề: |
Machine learning for medical diagnosis: History, state of the art and perspective |
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Sách, tạp chí |
| Tiêu đề: |
Comparison and evaluation of methods for liver segmentation from CT datasets |
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Sách, tạp chí |
| Tiêu đề: |
Learning probabilistic transfer functions: A comparative study of classifiers |
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Sách, tạp chí |
| Tiêu đề: |
Support vector machines |
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Sách, tạp chí |
| Tiêu đề: |
Design of multi-dimensional transfer functions using dimensional reduction |
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Sách, tạp chí |
| Tiêu đề: |
An Intelligent System Approach to Higher- Dimensional Classification of Volume Data |
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Sách, tạp chí |
| Tiêu đề: |
Automatic Detection Of Liver Tumors |
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Sách, tạp chí |
| Tiêu đề: |
Liver segmentation by intensity analysis and anatomical information in multi-slice CT images |
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Sách, tạp chí |
| Tiêu đề: |
A machine learning approach for locating boundaries of liver tumors in ct images |
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Sách, tạp chí |
| Tiêu đề: |
A Liver Segmentation Algorithm Based on Wavelets and Machine Learning |
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Sách, tạp chí |
| Tiêu đề: |
A Comparison of Texture Models forAutomatic Liver Segmentation |
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Sách, tạp chí |
| Tiêu đề: |
Automatic liver parenchyma segmentation from abdominal CT images using support vector machines |
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Sách, tạp chí |
| Tiêu đề: |
Deep learning in medical image analysis |
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Sách, tạp chí |
| Tiêu đề: |
A survey on deep learning in medical image analysis |
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