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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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LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation
Comput. Biol. MedicineEarly-stage 3D brain tumor segmentation from magnetic resonance imaging (MRI) scans is crucial for prompt and effective treatment. However, this process faces the challenge of precise delineation due to the tumors' complex heterogeneity. Moreover, energy
E. Alwadee +3 more
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CSCA U-Net: A channel and space compound attention CNN for medical image segmentation
Artif. Intell. MedicineImage segmentation is one of the vital steps in medical image analysis. A large number of methods based on convolutional neural networks have emerged, which can extract abstract features from multiple-modality medical images, learn valuable information ...
Xin Shu +4 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
openaire +1 more source
HmsU-Net: A hybrid multi-scale U-net based on a CNN and transformer for medical image segmentation
Comput. Biol. MedicineAccurate medical image segmentation is of great significance for subsequent diagnosis and analysis. The acquisition of multi-scale information plays an important role in segmenting regions of interest of different sizes.
Bangkang Fu +5 more
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U-Net: deep learning for cell counting, detection, and morphometry
Nature Methods, 2018Thorsten Falk +21 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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Pneumothorax Segmentation from Chest X-Rays Using U-Net/U-Net++ Architectures
2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), 2022Tanmoyee Sharma +4 more
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