Automatic Brain Tumor Segmentation: Advancing U-Net With ResNet50 Encoder for Precise Medical Image Analysis

Automated brain tumor segmentation from MRI images is critical for accurate diagnosis and treatment planning. This study presents a novel ResUNet50-based approach, integrating ResNet50 as an encoder within the U-Net framework to achieve robust and precise segmentation. The proposed model was evaluat...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Shoffan Saifullah, Rafal drezewski, Anton Yudhana, Andiko Putro Suryotomo
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Brain tumor segmentation ResUNet50 medical image analysis MRI scans deep learning
Online Access:	https://ieeexplore.ieee.org/document/10909126/