Prostate 3d Medical Image Segmentation

Authors

  • Zaynidinov Khakimjon Nasiridinovich Head of the "Artificial Intelligence" Department of Tashkent University of Information Technologies named after Muhammad al-Khorazmi, Doctor of Technical Sciences, Professor.
  • Normatov Raimjon Murodullo o`g`li Master student at Tashkent University of Information Technologies named after Muhammad al-Khwarizmi (TUIT).
  • Azimov Bunyod Raximjonovich Associate Professor of the Department of Artificial Intelligence at Tashkent University of Information Technologies named after Muhammad al-Khwarizmi (TUIT).
  • Gafurov Sultan Avaz o’g’li Master student at Tashkent University of Information Technologies named after Muhammad al-Khwarizmi (TUIT)

Keywords:

MONAI, CNN, U-Net, Dice loss, pytorch, prostate 3D segmentation

Abstract

Prostate 3D medical image segmentation is a critical task in medical imaging, especially in the diagnosis and treatment planning for prostate cancer. Segmentation involves identifying and delineating the prostate gland and its surrounding structures from medical images. This paper shows segmentation process using MONAI..

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Published

2024-05-01

How to Cite

Zaynidinov Khakimjon Nasiridinovich, Normatov Raimjon Murodullo o`g`li, Azimov Bunyod Raximjonovich, & Gafurov Sultan Avaz o’g’li. (2024). Prostate 3d Medical Image Segmentation. Miasto Przyszłości, 331–339. Retrieved from https://miastoprzyszlosci.com.pl/index.php/mp/article/view/3392

Issue

2024: Special Issue: Utilization of Scientific Advancements in Research and Education

Section

Articles

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