LIT-DATASET
Liver and Liver Tumor Segmentation | Kaggle
E $$^2$$ Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans | SpringerLink
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation
LiTS – Liver Tumor Segmentation Challenge (LiTS17) - Academic Torrents
CT-ORG, a new dataset for multiple organ segmentation in computed tomography | Scientific Data
Automatic liver tumor segmentation used the cascade multi-scale attention architecture method based on 3D U-Net | SpringerLink
How to Explore your Object Detection Dataset With Streamlit
JPM | Free Full-Text | Multi-Resolution Image Segmentation Based on a Cascaded U-ADenseNet for the Liver and Tumors
The scans in Liver Tumor Segmentation Challenge (LiTS) 2017 dataset and... | Download Scientific Diagram
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
Multiple liver CT datasets in different scanning conditions—A public... | Download Scientific Diagram
Frontiers | Effects of Multiple Filters on Liver Tumor Segmentation From CT Images
GitHub - Confusezius/unet-lits-2d-pipeline: Liver Lesion Segmentation with 2D Unets
The Liver Tumor Segmentation Benchmark (LiTS) - ScienceDirect
LiTS17 Dataset | Papers With Code
LIT-PCBA: An Unbiased Data Set for Machine Learning and Virtual Screening | Journal of Chemical Information and Modeling
CodaLab - Competition
Liver Tumor Segmentation | Kaggle
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
Reva J. Resstack on Twitter: "🌐New report on the #global status of labor market access for #refugees. @CGDev @RefugeesIntl @asylumaccess came together to assess de jure and de facto conditions in 51
Frontiers | Advanced Deep Learning Approach to Automatically Segment Malignant Tumors and Ablation Zone in the Liver With Contrast-Enhanced CT
The Liver Tumor Segmentation Benchmark (LiTS) - ScienceDirect
Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases | Radiology: Artificial Intelligence
Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing | Scientific Reports
