A Novel ConvLSTM-Based U-net for Improved Brain Tumor Segmentation

Using 2D scans or simple 3D convolutions are two limitations of previous works on segmentation of brain tumors by deep learning, which lead to ignoring the temporal distribution of the scans. This study proposes a novel extension to the well-known U-net model for brain tumor segmentation, utilizing...

詳細記述

書誌詳細

出版年:	IEEE Access
主要な著者:	Osama Majeed Hilal Almiahi, Alaa Taima Albu-Salih, Dhafer Alhajim
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2024-01-01
主題:	Brain tumor deep learning ConvLSTM up skip connection U-net
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10721476/