Deep Learning-Assisted Segmentation and Classification of Brain Tumor Types on Magnetic Resonance and Surgical Microscope Images.

Journal: World neurosurgery

Published Date: Nov 28, 2023

Abstract

OBJECTIVE: The primary aim of this research was to harness the capabilities of deep learning to enhance neurosurgical procedures, focusing on accurate tumor boundary delineation and classification. Through advanced diagnostic tools, we aimed to offer surgeons a more insightful perspective during surgeries, improving surgical outcomes and patient care.

Authors

Efecan Cekic

Department of Neurosurgery, Polatli Duatepe State Hospital, Ankara, Turkey. Electronic address: drefecancekic@gmail.com.
Ertugrul Pinar

Department of Neurosurgery, Private Pendik Yuzyil Hospital, İstanbul, Turkey.
Merve Pinar

Department of Computer Engineering, Marmara University, İstanbul, Turkey.
Adnan Dagcinar

Department of Neurosurgery, Marmara University, İstanbul, Turkey.

Keywords

Brain Neoplasms Deep Learning Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Magnetic Resonance Spectroscopy Meningeal Neoplasms

External Resources

View on PubMed Access via DOI PubMed (38030068)

Deep Learning-Assisted Segmentation and Classification of Brain Tumor Types on Magnetic Resonance and Surgical Microscope Images.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals