The Liver Tumor Segmentation Benchmark (LiTS) - ScienceDirect
Liver Tumor Segmentation | Kaggle
Frontiers | Advanced Deep Learning Approach to Automatically Segment Malignant Tumors and Ablation Zone in the Liver With Contrast-Enhanced CT
Multiple liver CT datasets in different scanning conditions—A public... | Download Scientific Diagram
.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
A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets | BMC Medical Imaging | Full Text
LiTS – Liver Tumor Segmentation Challenge (LiTS17) - Academic Torrents
LIT-PCBA: An Unbiased Data Set for Machine Learning and Virtual Screening | Journal of Chemical Information and Modeling
GitHub - Confusezius/unet-lits-2d-pipeline: Liver Lesion Segmentation with 2D Unets
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
A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets | BMC Medical Imaging | Full Text
E $$^2$$ Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans | SpringerLink
Applied Sciences | Free Full-Text | 3D Liver and Tumor Segmentation with CNNs Based on Region and Distance Metrics
GitHub - Auggen21/LITS-Challenge: Liver Tumor Segmentation Challenge
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
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
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
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation
The Liver Tumor Segmentation Benchmark (LiTS) - ScienceDirect
The scans in Liver Tumor Segmentation Challenge (LiTS) 2017 dataset and... | Download Scientific Diagram
Review: H-DenseUNet — 2D & 3D DenseUNet for Intra & Inter Slice Features (Biomedical Image Segmentation) | by Sik-Ho Tsang | Medium
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
JPM | Free Full-Text | Multi-Resolution Image Segmentation Based on a Cascaded U-ADenseNet for the Liver and Tumors
A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis
How to Explore your Object Detection Dataset With Streamlit
