MIT 15.071 The Analytics Edge, Spring 2017 8.3.3 Radiation Therapy - Video 2: An Optimization Problem
8.3.3 Radiation Therapy - Video 2: An Optimization Problem Transcript and Lesson Notes
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair How targeted radiation therapy can be framed as an optimization problem. License: Creative Com
Quick Summary
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair How targeted radiation therapy can be framed as an optimization problem. License: Creative Com
Key Takeaways
- Review the core idea: MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair How targeted radiation therapy can be framed as an optimization problem. License: Creative Com
- Understand how treatment data fits into 8.3.3 Radiation Therapy - Video 2: An Optimization Problem.
- Understand how CT scan oncologist fits into 8.3.3 Radiation Therapy - Video 2: An Optimization Problem.
- Understand how countours fits into 8.3.3 Radiation Therapy - Video 2: An Optimization Problem.
- Understand how tumor fits into 8.3.3 Radiation Therapy - Video 2: An Optimization Problem.
Key Concepts
Full Transcript
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair How targeted radiation therapy can be framed as an optimization problem. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
Lesson FAQs
What is 8.3.3 Radiation Therapy - Video 2: An Optimization Problem about?
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair How targeted radiation therapy can be framed as an optimization problem. License: Creative Com
What key concepts are covered in this lesson?
The lesson covers treatment data, CT scan oncologist, countours, tumor, critical structures.
What should I learn before 8.3.3 Radiation Therapy - Video 2: An Optimization Problem?
Review the previous lessons in MIT 15.071 The Analytics Edge, Spring 2017, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: treatment data, CT scan oncologist, countours, tumor.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
Is this lesson free?
Yes. CourseHive lessons and courses are available to learn online for free.
