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UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Lecture Notes in Computer Science, 2018 In this paper, we present UNet++, a new, more powerful architecture for medical image segmentation. Our architecture is essentially a deeply-supervised encoder-decoder network where the encoder and decoder sub-networks are connected through a series of ...
Zongwei Zhou, Jianming Liang
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IBA-U-Net: Attentive BConvLSTM U-Net with Redesigned Inception for medical image segmentation
Computers in Biology and Medicine, 2021Accurate segmentation of medical images plays an essential role in their analysis and has a wide range of research and application values in fields of practice such as medical research, disease diagnosis, disease analysis, and auxiliary surgery. In recent years, deep convolutional neural networks have been developed that show strong performance in ...
Siyuan, Chen, Yanni, Zou, Peter X, Liu
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Information Flow Through U-Nets
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021Deep Neural Networks (DNNs) have become ubiquitous in medical image processing and analysis. Among them, U-Nets are very popular in various image segmentation tasks. Yet, little is known about how information flows through these networks and whether they are indeed properly designed for the tasks they are being proposed for.
Suemin Lee, Ivan V. Bajic
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MVP U-Net: Multi-View Pointwise U-Net for Brain Tumor Segmentation
2021It is a challenging task to segment brain tumors from multi-modality MRI scans. How to segment and reconstruct brain tumors more accurately and faster remains an open question. The key is to effectively model spatial-temporal information that resides in the input volumetric data.
Changchen Zhao +3 more
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AMS-U-Net: automatic mass segmentation in digital breast tomosynthesis via U-Net
Journal of Medical ImagingThe objective of this study was to develop a fully automatic mass segmentation method called AMS-U-Net for digital breast tomosynthesis (DBT), a popular breast cancer screening imaging modality. The aim was to address the challenges posed by the increasing number of slices in DBT, which leads to higher mass contouring workload and decreased treatment ...
Ahmad, Qasem +2 more
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Brain Tumor Segmentation Using U-net and U-net++ Networks
2022 30th International Conference on Electrical Engineering (ICEE), 2022Seyyed Ali Mortazavi-Zadeh +2 more
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2020
Lung cancer (lung carcinoma) is a malignant tumor defined by unrestrained cell growth in lung tissues. Long-term tobacco smoking is the major cause of lung cancer. Radiographs and Computed Tomography (CT) are used to see the lung cancer. The diagnosis is performed by the process called bronchoscopy and can be confirmed by biopsy. CT is a lung screening
Sathishkumar, R. +2 more
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Lung cancer (lung carcinoma) is a malignant tumor defined by unrestrained cell growth in lung tissues. Long-term tobacco smoking is the major cause of lung cancer. Radiographs and Computed Tomography (CT) are used to see the lung cancer. The diagnosis is performed by the process called bronchoscopy and can be confirmed by biopsy. CT is a lung screening
Sathishkumar, R. +2 more
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Transclaw U-Net: Claw U-Net With Transformers for Medical Image Segmentation
2022 5th International Conference on Information Communication and Signal Processing (ICICSP), 2022Chang Yao +4 more
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