Instance Segmentation for Medical Image Analysis

Instance Segmentation for Medical Image Analysis

Presenter(s)

Kim Anh Phung

Comments

Presentation: 10:20-10:40 a.m., Jessie Hathcock Hall 101

Description

In this work, we will explore the instance segmentation for medical image analysis. In particular, we will collect a new dataset of polyp instances for this task. Then, we evaluate and report the performance of different state-of-the-art methods. Finally, we will provide insights about applying the computer vision methods into practical problem.

Publication Date

4-19-2023

Project Designation

Course Project 202310 CPS 595 P5

Primary Advisor

Ju Shen, Cemil Kirbas

Primary Advisor's Department

Computer Science

Keywords

Stander Symposium, College of Arts and Sciences

Institutional Learning Goals

Community; Practical Wisdom

Instance Segmentation for Medical Image Analysis

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