A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis
Liver Tumor Segmentation | Kaggle
A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets | BMC Medical Imaging | Full Text
Liver and Liver Tumor Segmentation | Kaggle
Annotations for Body Organ Localization based on MICCAI LiTS Dataset | IEEE DataPort
GitHub - Auggen21/LITS-Challenge: Liver Tumor Segmentation Challenge
CodaLab - Competition
Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases | Radiology: Artificial Intelligence
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
E $$^2$$ Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans | SpringerLink
.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 scans in Liver Tumor Segmentation Challenge (LiTS) 2017 dataset and... | Download Scientific Diagram
Automatic liver tumor segmentation used the cascade multi-scale attention architecture method based on 3D U-Net | SpringerLink
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
The Liver Tumor Segmentation Benchmark (LiTS) - ScienceDirect
Frontiers | Effects of Multiple Filters on Liver Tumor Segmentation From CT Images
Multiple liver CT datasets in different scanning conditions—A public... | Download Scientific Diagram
JPM | Free Full-Text | Multi-Resolution Image Segmentation Based on a Cascaded U-ADenseNet for the Liver and Tumors
Frontiers | Advanced Deep Learning Approach to Automatically Segment Malignant Tumors and Ablation Zone in the Liver With Contrast-Enhanced CT
CT-ORG, a new dataset for multiple organ segmentation in computed tomography | Scientific Data
