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Работы, на которые ссылается эта работа
Работ: 14
Работа: Brain-Tumor Segmentation Using U-Net Neural Network Architecture
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger, Philipp Fischer, Thomas Brox
Глава2015Цитирований: 32ABIThe Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
Kenneth Clark, Bruce A. Vendt, Kirk Smith +9
Статья2013Цитирований: 8ABIUNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh +1
Статья2018Цитирований: 4ABIBrain tumor segmentation with Deep Neural Networks
Mohammad Havaei, Axel Davy, David Warde-Farley +6
Статья2016Цитирований: 3ABI3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp +2
Глава2016Цитирований: 3ABIRecent deep learning-based brain tumor segmentation models using multi-modality magnetic resonance imaging: a prospective survey
Zain Ul Abıdın, Rizwan Ali Naqvi, Amir Haider +3
Обзорная статья2024Цитирований: 3ABICE-Net: Context Encoder Network for 2D Medical Image Segmentation
Zaiwang Gu, Jun Cheng, Huazhu Fu +6
Статья2019Цитирований: 2ABI