Deep-learning-in-medical-image-analysis

以「手寫郵遞區號數字」資料，實作傳統類神經網路(neural networks)模型

單光子電腦斷層掃描(single photon emission computed tomography, SPECT)的多類別分類(multi-class classification)

核磁共振造影(magnetic resonance imaging, MRI)的3D影像分析

超音波掃描(sonography)於頸動脈分割(segmentation)與血流速度評估

X光影像(X-ray)中常見胸部疾病之物件偵測(object detection)

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
Deep-learning-in-medical-image-analysis_HW1-main		Deep-learning-in-medical-image-analysis_HW1-main
Deep-learning-in-medical-image-analysis_HW2-main		Deep-learning-in-medical-image-analysis_HW2-main
Deep-learning-in-medical-image-analysis_HW3-main		Deep-learning-in-medical-image-analysis_HW3-main
Deep-learning-in-medical-image-analysis_HW4-main		Deep-learning-in-medical-image-analysis_HW4-main
Deep-learning-in-medical-image-analysis_HW5-main		Deep-learning-in-medical-image-analysis_HW5-main
README.md		README.md

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