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The Liver Tumor Segmentation Benchmark (LiTS) - ScienceDirect
Frontiers | Effects of Multiple Filters on Liver Tumor Segmentation From CT Images
LiTS17 Dataset | Papers With Code
A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets | BMC Medical Imaging | Full Text
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
CT slides from LiTS dataset containing tumor pathologies. From top to... | Download Scientific Diagram
The Liver Tumor Segmentation Benchmark (LiTS) - ScienceDirect
The scans in Liver Tumor Segmentation Challenge (LiTS) 2017 dataset and... | Download Scientific Diagram
Annotations for Body Organ Localization based on MICCAI LiTS Dataset | IEEE DataPort
Effective Data Storytelling for Larger-Than-Memory Datasets with Streamlit, Dask, and Coiled
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
Review: H-DenseUNet — 2D & 3D DenseUNet for Intra & Inter Slice Features (Biomedical Image Segmentation) | by Sik-Ho Tsang | Medium
LIT-DATASET
CT-ORG, a new dataset for multiple organ segmentation in computed tomography | Scientific Data
CodaLab - Competition
Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing | Scientific Reports
Applied Sciences | Free Full-Text | 3D Liver and Tumor Segmentation with CNNs Based on Region and Distance Metrics
LIT-PCBA: An Unbiased Data Set for Machine Learning and Virtual Screening | Journal of Chemical Information and Modeling
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
GitHub - Confusezius/unet-lits-2d-pipeline: Liver Lesion Segmentation with 2D Unets