Medical Imaging with Deep Learning Tutorial 2020 - Joseph Paul Cohen
Joseph Paul Cohen

folder medical-imaging-deep-learning-tutorial-2020 (7 files)
filemedical-imaging-deep-learning-tutorial-2020-slides.pdf 7.74MB
fileMedical Imaging Tutorial 2020 - Ch0 - Intro.mp4 4.82MB
fileMedical Imaging Tutorial 2020 - Ch1 - Radiology and Multi-View.mp4 13.98MB
fileMedical Imaging Tutorial 2020 - Ch2 - Histology and Segmentation.mp4 15.75MB
fileMedical Imaging Tutorial 2020 - Ch3 - Cell Counting.mp4 10.11MB
fileMedical Imaging Tutorial 2020 - Ch4 - Incorrect Feature Attribution.mp4 10.64MB
fileMedical Imaging Tutorial 2020 - Ch5 - GANs in Medical Imaging.mp4 13.83MB
Type: Course
Tags: radiology

Bibtex:
@article{,
title= {Medical Imaging with Deep Learning Tutorial 2020 - Joseph Paul Cohen},
keywords= {radiology},
author= {Joseph Paul Cohen},
abstract= {This tutorial 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).

Presented by:
Joseph Paul Cohen PhD
Postdoctoral Fellow
Mila, University of Montreal

View presentations online here: https://www.youtube.com/playlist?list=PLheiZMDg_8ufxEx9cNVcOYXsT3BppJP4b

https://i.imgur.com/0eexA1V.jpg

https://i.imgur.com/GhTVcY0.jpg},
terms= {},
license= {https://creativecommons.org/licenses/by/4.0/},
superseded= {},
url= {https://www.youtube.com/playlist?list=PLheiZMDg_8ufxEx9cNVcOYXsT3BppJP4b}
}


Send Feedback Start
   0.000022
DB Connect
   0.000454
Lookup hash in DB
   0.000707
Get torrent details
   0.000572
Get torrent details, finished
   0.000587
Get authors
   0.000049
Parse bibtex
   0.000547
Write header
   0.000612
get stars
   0.000393
home tab
   0.001036
render right panel
   0.000009
render ads
   0.000223
fetch current hosters
   0.001089
Done