Image may be NSFW.
Clik here to view.
Download the lecture Image may be NSFW.
Clik here to view.
or view it online Image may be NSFW.
Clik here to view.
View videos on YouTubeImage may be NSFW.
Clik here to view.
or BitTorrent Image may be NSFW.
Clik here to view.
Description: This lecture will be styled as a graduate lecture about medical imaging with deep learning. This will cover the background of popular medical image domains (chest X-ray and histology) as well as methods to tackle multi-modality/view, segmentation, and counting tasks. These methods will be covered in terms of architecture and objective function design. Also, a discussion about incorrect feature attribution and approaches to mitigate the issue. Prerequisites: basic knowledge of computer vision (CNNs) and machine learning (regression, gradient descent).
Topics:
- Chapter 1 – Radiology and Multi-View
- Chapter 2 – Histology and Segmentation
- Chapter 3 – Cell Counting
- Chapter 4 – Incorrect Feature Attribution
- Chapter 5 – GANs in Medical Imaging
Presentation given:
- CHIL Conference Tutorial on Medical Imaging with Deep Learning (July 2020)
- cs2541 ML4Healthcare at UToronto/Vector institute (Feb 2020)
The post Medical Imaging with Deep Learning Tutorial appeared first on Joseph Paul Cohen PhD.
