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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