Clinical application of mask region-based convolutional neural network for the automatic detection and segmentation of abnormal liver density based on hepatocellular carcinoma computed tomography datasets | PLOS ONE
![Automatic liver tumor segmentation used the cascade multi-scale attention architecture method based on 3D U-Net | SpringerLink Automatic liver tumor segmentation used the cascade multi-scale attention architecture method based on 3D U-Net | SpringerLink](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs11548-022-02653-9/MediaObjects/11548_2022_2653_Fig6_HTML.jpg)
Automatic liver tumor segmentation used the cascade multi-scale attention architecture method based on 3D U-Net | SpringerLink
![Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases | Radiology: Artificial Intelligence Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases | Radiology: Artificial Intelligence](https://pubs.rsna.org/cms/10.1148/ryai.2019180014/asset/images/medium/ryai.2019180014.fig1.gif)
Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases | Radiology: Artificial Intelligence
![Frontiers | Advanced Deep Learning Approach to Automatically Segment Malignant Tumors and Ablation Zone in the Liver With Contrast-Enhanced CT Frontiers | Advanced Deep Learning Approach to Automatically Segment Malignant Tumors and Ablation Zone in the Liver With Contrast-Enhanced CT](https://www.frontiersin.org/files/Articles/669437/fonc-11-669437-HTML/image_m/fonc-11-669437-g002.jpg)
Frontiers | Advanced Deep Learning Approach to Automatically Segment Malignant Tumors and Ablation Zone in the Liver With Contrast-Enhanced CT
LIT-PCBA: An Unbiased Data Set for Machine Learning and Virtual Screening | Journal of Chemical Information and Modeling
![A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets | BMC Medical Imaging | Full Text A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets | BMC Medical Imaging | Full Text](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs12880-021-00708-y/MediaObjects/12880_2021_708_Fig4_HTML.png)
A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets | BMC Medical Imaging | Full Text
![Liver segmentation results based on RA-UNet-II. (a) is from the LiTS... | Download Scientific Diagram Liver segmentation results based on RA-UNet-II. (a) is from the LiTS... | Download Scientific Diagram](https://www.researchgate.net/publication/328758144/figure/fig2/AS:689812591882243@1541475546935/Liver-segmentation-results-based-on-RA-UNet-II-a-is-from-the-LiTS-validation-dataset.png)
Liver segmentation results based on RA-UNet-II. (a) is from the LiTS... | Download Scientific Diagram
![Review: H-DenseUNet — 2D & 3D DenseUNet for Intra & Inter Slice Features (Biomedical Image Segmentation) | by Sik-Ho Tsang | Medium Review: H-DenseUNet — 2D & 3D DenseUNet for Intra & Inter Slice Features (Biomedical Image Segmentation) | by Sik-Ho Tsang | Medium](https://miro.medium.com/max/1272/1*0x3JmY78O13B1M5M0RjUOA.png)
Review: H-DenseUNet — 2D & 3D DenseUNet for Intra & Inter Slice Features (Biomedical Image Segmentation) | by Sik-Ho Tsang | Medium
![The WORC database: MRI and CT scans, segmentations, and clinical labels for 930 patients from six radiomics studies | medRxiv The WORC database: MRI and CT scans, segmentations, and clinical labels for 930 patients from six radiomics studies | medRxiv](https://www.medrxiv.org/content/medrxiv/early/2021/08/25/2021.08.19.21262238/F1.large.jpg)
The WORC database: MRI and CT scans, segmentations, and clinical labels for 930 patients from six radiomics studies | medRxiv
![Applied Sciences | Free Full-Text | 3D Liver and Tumor Segmentation with CNNs Based on Region and Distance Metrics Applied Sciences | Free Full-Text | 3D Liver and Tumor Segmentation with CNNs Based on Region and Distance Metrics](https://pub.mdpi-res.com/applsci/applsci-10-03794/article_deploy/html/images/applsci-10-03794-g001.png?1592829999)
Applied Sciences | Free Full-Text | 3D Liver and Tumor Segmentation with CNNs Based on Region and Distance Metrics
![The scans in Liver Tumor Segmentation Challenge (LiTS) 2017 dataset and... | Download Scientific Diagram The scans in Liver Tumor Segmentation Challenge (LiTS) 2017 dataset and... | Download Scientific Diagram](https://www.researchgate.net/publication/341806059/figure/fig2/AS:897787147333632@1591060544131/The-scans-in-Liver-Tumor-Segmentation-Challenge-LiTS-2017-dataset-and-3D-Image.png)