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References from MIS-Net: A deep learning-based multi-class segmentation model for CT images. Local targets link to admitted publications; unresolved targets remain external evidence.
A review of medical image segmentation algorithms
10.4108/eai.12-4-2021.169184 · 2021 · External reference
Segmentation and image analysis of abnormal lungs at CT: current approaches, challenges, and future trends
10.1148/rg.2015140232 · 2015 · External reference
Synchronous multimode ultrasound for assessing right-to-left shunt: a prospective clinical study
10.3389/fneur.2023.1148846 · 2023 · External reference
A survey on medical image segmentation
10.2174/157340561101150423103441 · 2015 · External reference
Unresolved reference
2018 · External reference
10.1109/wacv.2018.00066
10.1109/wacv.2018.00066 · External reference
Pnp-adanet: Plug-and-play adversarial domain adaptation network at unpaired cross-modality cardiac segmentation
10.1109/access.2019.2929258 · 2019 · External reference
Coronary computed tomography angiography: overview of technical aspects, current concepts, and perspectives
2007 · External reference
10.1109/icaccct.2012.6320777
10.1109/icaccct.2012.6320777 · External reference
Unresolved reference
External reference
10.1109/cvpr.2015.7298965
10.1109/cvpr.2015.7298965 · External reference
10.1007/978-3-319-24574-4_28
10.1007/978-3-319-24574-4_28 · External reference
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
10.1109/tpami.2017.2699184 · 2017 · External reference
10.1109/3dv.2016.79
10.1109/3dv.2016.79 · External reference
10.1007/978-3-319-46723-8_49
10.1007/978-3-319-46723-8_49 · External reference
Block level skip connections across cascaded V-Net for multi-organ segmentation
10.1109/tmi.2020.2975347 · 2020 · External reference
Unresolved reference
External reference
10.1109/wacv51458.2022.00181
10.1109/wacv51458.2022.00181 · External reference
Unresolved reference
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Unresolved reference
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Unresolved reference
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10.1007/978-981-13-1702-6_53
10.1007/978-981-13-1702-6_53 · External reference
Deep belief network modeling for automatic liver segmentation
10.1109/access.2019.2896961 · 2019 · External reference
A new method for CTC images recognition based on machine learning
10.3389/fbioe.2020.00897 · 2020 · External reference
10.1016/j.icte.2024.01.002
10.1016/j.icte.2024.01.002 · External reference
A novel approach of surface texture mapping for cone-beam computed tomography in image-guided surgical navigation
2023 · External reference
10.1007/978-3-030-00889-5_1
10.1007/978-3-030-00889-5_1 · External reference
Unresolved reference
External reference
10.1109/cvpr46437.2021.00681
10.1109/cvpr46437.2021.00681 · External reference
3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework
10.1186/s12880-021-00728-8 · 2022 · External reference
Automated lung-related pneumonia and COVID-19 detection based on novel feature extraction framework and vision transformer approaches using chest X-ray images
10.3390/bioengineering9110709 · 2022 · External reference
Spatial pyramid pooling in deep convolutional networks for visual recognition
10.1109/tpami.2015.2389824 · 2015 · External reference
10.1109/iccvw54120.2021.00312
10.1109/iccvw54120.2021.00312 · External reference
Unresolved reference
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Unresolved reference
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Automated segmentation of liver segment on portal venous phase MR images using a 3D convolutional neural network
10.1186/s13244-022-01163-1 · 2022 · External reference
Abdomen CT multi-organ segmentation using token-based MLP-Mixer
10.1002/mp.16135 · 2023 · External reference
Deep 3D attention CLSTM U-Net based automated liver segmentation and volumetry for the liver transplantation in abdominal CT volumes
2022 · External reference
Tumorous kidney segmentation in abdominal CT images using active contour and 3D-UNet
10.1007/s11845-022-03113-8 · 2023 · External reference
