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
The Liver Tumor Segmentation Benchmark (LiTS) - ScienceDirect
Annotations for Body Organ Localization based on MICCAI LiTS Dataset | IEEE DataPort
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
How to Explore your Object Detection Dataset With Streamlit
LiTS – Liver Tumor Segmentation Challenge (LiTS17) - Academic Torrents
The Liver Tumor Segmentation Benchmark (LiTS) - ScienceDirect
GitHub - Auggen21/LITS-Challenge: Liver Tumor Segmentation Challenge
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
LIT-DATASET
Liver segmentation results based on RA-UNet-II. (a) is from the LiTS... | Download Scientific Diagram
LiTS17 Dataset | Papers With Code
Review: H-DenseUNet — 2D & 3D DenseUNet for Intra & Inter Slice Features (Biomedical Image Segmentation) | by Sik-Ho Tsang | Medium
Liver Tumor Segmentation | Kaggle
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
A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis
Applied Sciences | Free Full-Text | 3D Liver and Tumor Segmentation with CNNs Based on Region and Distance Metrics
