ASGE Annual Postgraduate Course: Clinical Challenges and Real-Time Decision Making in GI Endoscopy (Live and Virtual)

Video Transcription

Video Summary

In this video, Taposh Roy from Kaiser Permanente discusses annotation and segmentation. He starts by explaining that annotation is extra information added to a document or file, and it can be done for text, images, sound, or any other type of information. To illustrate, he provides examples of annotating images, such as labeling a black and white cow or identifying different objects and activities in images. Taposh also discusses the concept of blind spots in our perceptual systems and cautions that this can affect image annotation. He then delves into image annotation techniques, highlighting whole image classification, object detection, and image segmentation. He explains that image segmentation involves recognizing and understanding the content of an image at the pixel level. Taposh also touches upon supervised and unsupervised machine learning paradigms and their applications in healthcare. He mentions a comprehensive dataset of gastrointestinal images that was manually annotated by senior physicians. Finally, he discusses some clustering algorithms and their potential use in medical image processing. The video concludes with Taposh inviting further discussion during the Q&A session. No credits were mentioned in the transcript.

Asset Subtitle

Taposh Roy

Keywords

annotation

segmentation

image annotation

image segmentation

machine learning