JPM | Free Full-Text | Multi-Resolution Image Segmentation Based on a Cascaded U-ADenseNet for the Liver and Tumors
Applied Sciences | Free Full-Text | 3D Liver and Tumor Segmentation with CNNs Based on Region and Distance Metrics
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation
Liver and Liver Tumor Segmentation | Kaggle
The Liver Tumor Segmentation Benchmark (LiTS) - ScienceDirect
Deep learning and level set approach for liver and tumor segmentation from CT scans - Alirr - 2020 - Journal of Applied Clinical Medical Physics - Wiley Online Library
A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets | BMC Medical Imaging | Full Text
Annotations for Body Organ Localization based on MICCAI LiTS Dataset | IEEE DataPort
E $$^2$$ Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans | SpringerLink
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
Frontiers | Advanced Deep Learning Approach to Automatically Segment Malignant Tumors and Ablation Zone in the Liver With Contrast-Enhanced CT
CT slides from LiTS dataset containing tumor pathologies. From top to... | Download Scientific Diagram
GitHub - Confusezius/unet-lits-2d-pipeline: Liver Lesion Segmentation with 2D Unets
Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing | Scientific Reports
LiTS17 Dataset | Papers With Code
CodaLab - Competition
.gif "Effective Data Storytelling for Larger-Than-Memory Datasets with Streamlit, Dask, and Coiled")
Effective Data Storytelling for Larger-Than-Memory Datasets with Streamlit, Dask, and Coiled
The Liver Tumor Segmentation Benchmark (LiTS) - ScienceDirect
Review: H-DenseUNet — 2D & 3D DenseUNet for Intra & Inter Slice Features (Biomedical Image Segmentation) | by Sik-Ho Tsang | Medium
Liver segmentation results based on RA-UNet-II. (a) is from the LiTS... | Download Scientific Diagram
LIT-PCBA: An Unbiased Data Set for Machine Learning and Virtual Screening | Journal of Chemical Information and Modeling
Frontiers | Effects of Multiple Filters on Liver Tumor Segmentation From CT Images
The WORC database: MRI and CT scans, segmentations, and clinical labels for 930 patients from six radiomics studies | medRxiv
LiTS – Liver Tumor Segmentation Challenge (LiTS17) - Academic Torrents
GitHub - Auggen21/LITS-Challenge: Liver Tumor Segmentation Challenge
The Liver Tumor Segmentation Benchmark (LiTS) - ScienceDirect
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
