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Google Colab Code Editor
Google Colab Code Editor
學習建議：在 Google Colaboratory（Colab）環境上執行程式，是初學者快速上手編寫程式的有效途徑。[Colab-1] 介紹 Google Colab 的基本概念，並示範其基本使用方法與注意事項，協助讀者快速掌握 Google Colab 的使用方式，並開始以 Colab 作為程式編輯與執行環境。 [Colab-2] 介紹三個 Colab AI 工具，幫助開發者提升程式設計效率。可將其作為 AI 家教輔助學習，也可利用其加速除錯並優化開發流程。同時，透過 AI 工具，也能學習 AI 時代重要的提示工程技能。
[Colab-1]
Google Colab Tutorial for Beginners ・ Doga Ozgon ・ [10:38]
Complete Beginner's Tutorial to Google Colab ・ Greg Hogg・[18:11]
[Colab-2]
Supercharge your Programming in Colab with AI-Powered tools・ Google Research・[4:27]
AI 工具
AI 工具
3D Slicer
3D Slicer
[3DSlicer-1]
3D Slicer 簡介・吳亭慧・國立臺灣大學・[09:55]
[3DSlicer-2]
3D Slicer Tutorial・Jan Witowski・Playlist [01:00:27]
基礎醫學影像處理
基礎醫學影像處理
在實踐各種人工智慧於醫學影像上的應用時，影像結構與影像處理方法為最基本需要熟知的觀念。在影片中我們將介紹影像資料格式以及幾個常見的影像處理方式，也會聚焦於一些醫學影像常見的情況與對應方式；並且會在 hands-on 影片中提供一些範例，實際利用程式查看、操作、視覺化影像。
摘要：3D Slicer、ITK-SNAP、MITK、Colab、 MONAI等，醫學影像常用工具簡介。
Biomedical Image Analysis in Python・DataCamp・4 hours Course
Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.
The field of biomedical imaging has exploded in recent years - but for the uninitiated, even loading data can be a challenge! In this introductory course, you'll learn the fundamentals of image analysis using NumPy, SciPy, and Matplotlib. You'll navigate through a whole-body CT scan, segment a cardiac MRI time series, and determine whether Alzheimer’s disease changes brain structure. Even if you have never worked with images before, you will finish the course with a solid toolkit for entering this dynamic field.
Image Processing in Python・DataCamp・4 Hours Course (Intermediate)
Learn to process, transform, and manipulate images at your will.
DICOM (Digital Imaging and Communications in Medicine)
DICOM (Digital Imaging and Communications in Medicine)
Articles
Introduction to DICOM for Computer Vision Engineers・Shivam Sharma・December 15, 2021
Introduction to DICOM Coordinate Systems・Shivam Sharma・January 15, 2022
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