An Automatic Breast Tumor Detection and Classification including Automatic Tumor Volume Estimation Using Deep Learning Technique.

Journal: Asian Pacific journal of cancer prevention : APJCP
Published Date: Mar 1, 2023

Abstract

OBJECTIVE: This study aims to develop automatic breast tumor detection and classification including automatic tumor volume estimation using deep learning techniques based on computerized analysis of breast ultrasound images. When the skill levels of the radiologists and image quality are important to detect and diagnose the tumor using handheld ultrasound, the ability of this approach tends to assist the radiologist's decision for breast cancer diagnosis.

Authors

  • Prinda Labcharoenwongs
    Department of Computer Science, Faculty of Business Administration and Information Technology, Rajamangala University of Technology Tawan-Ok, Thailand.
  • Suteera Vonganansup
    Department of Computer Science, Faculty of Business Administration and Information Technology, Rajamangala University of Technology Tawan-Ok, Thailand.
  • Orawan Chunhapran
    Department of Computer Science, Faculty of Business Administration and Information Technology, Rajamangala University of Technology Tawan-Ok, Thailand.
  • Duangjai Noolek
    Department of Computer Science, Faculty of Business Administration and Information Technology, Rajamangala University of Technology Tawan-Ok, Thailand.
  • Tongjai Yampaka
    Department of Computer Science, Faculty of Business Administration and Information Technology, Rajamangala University of Technology Tawan-Ok, Thailand.

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