deepPGSegNet: MRI-based pituitary gland segmentation using deep learning.

Journal: Frontiers in endocrinology
PMID:

Abstract

INTRODUCTION: In clinical research on pituitary disorders, pituitary gland (PG) segmentation plays a pivotal role, which impacts the diagnosis and treatment of conditions such as endocrine dysfunctions and visual impairments. Manual segmentation, which is the traditional method, is tedious and susceptible to inter-observer differences. Thus, this study introduces an automated solution, utilizing deep learning, for PG segmentation from magnetic resonance imaging (MRI).

Authors

  • Uk-Su Choi
    Medical Device Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, Republic of Korea.
  • Yul-Wan Sung
    Kansei Fukushi Research Institute, Tohoku Fukushi University, Sendai, Japan.
  • Seiji Ogawa
    Kansei Fukushi Research Institute, Tohoku Fukushi University, Sendai, Japan.