YoVDO

Training Highly Generalizable Biomedical Image Segmentation Models with Very Few Annotations

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

Medical Imaging Courses Machine Learning Courses Few-shot Learning Courses Transfer Learning Courses Neural Architecture Search Courses X-rays Courses CT Scan Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a comprehensive lecture on training highly generalizable biomedical image segmentation models using limited annotations. Delve into cutting-edge techniques presented by Pengtao Xie at the Computational Genomics Summer Institute (CGSI) 2023. Discover innovative approaches to improve CT-based pneumonia classification, develop machine learning training strategies inspired by human learning skills, and apply neural architecture search for brain tumor classification and pneumonia diagnosis from chest X-rays. Gain insights from related research papers published in prestigious journals such as Scientific Reports and presented at conferences like the International Conference on Machine Learning (ICML).

Syllabus

Pengtao Xie | Training Highly Generalizable Biomedical Image Segmentation Models with Very Few Annot


Taught by

Computational Genomics Summer Institute CGSI

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent