SwinHCAD: A Robust Multi-Modality Segmentation Model for Brain Tumors Using Transformer and Channel-Wise Attention
Year: 2025
Type: article
Abstract: Brain tumors require precise segmentation for diagnosis and treatment plans due to their complex morphology and heterogeneous characteristics. While MRI-based automatic brain tumor segmentation technology reduces the burden o... | Find, read and cite all the research you need on Tech Science Press
Authors: Seyong Jin, Muhammad Fayaz, L. Minh Dang, Hyoung-Kyu Song, Hyeonjoon Moon
Institution: Sejong University
Language: English
Subfield: Neurology
Field: Neuroscience
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W7091453300