(ADINSERTER AMP)
Thursday, October 6, 2022
HomePediatrics DentistryAnnotations for deep learning image analysis for pathology

Annotations for deep learning image analysis for pathology


If you stuck to the first three rules but still drifted with your ground truth generation, I feel you. I’ve been there. At the beginning of the project, I would have a plan. I knew exactly what I wanted to annotate and how I wanted to do it. I wanted the annotation plan to be fixed before the beginning of the project and followed during the project. However, in the deep learning tissue image analysis projects, I had to change my approaches in the midst of the model development and I was annoyed with that.

Then I realized that the “fixed annotation plan” approach worked well for classical computer vision projects but not necessarily for the deep learning AI-based projects. For deep learning model development, you end up adjusting your ground truth during the model development and it’s OK. This brings us to the:

RELATED ARTICLES

LEAVE A REPLY

Please enter your comment!
Please enter your name here

Most Popular

Recent Comments