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The Liver Tumor Segmentation Benchmark (LiTS) - ScienceDirect
The Liver Tumor Segmentation Benchmark (LiTS) - ScienceDirect

KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and  Volumetric Segmentation
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation

Frontiers | Effects of Multiple Filters on Liver Tumor Segmentation From CT  Images
Frontiers | Effects of Multiple Filters on Liver Tumor Segmentation From CT Images

GitHub - Auggen21/LITS-Challenge: Liver Tumor Segmentation Challenge
GitHub - Auggen21/LITS-Challenge: Liver Tumor Segmentation Challenge

GitHub - Confusezius/unet-lits-2d-pipeline: Liver Lesion Segmentation with  2D Unets
GitHub - Confusezius/unet-lits-2d-pipeline: Liver Lesion Segmentation with 2D Unets

LiTS – Liver Tumor Segmentation Challenge (LiTS17) - Academic Torrents
LiTS – Liver Tumor Segmentation Challenge (LiTS17) - Academic Torrents

CodaLab - Competition
CodaLab - Competition

JPM | Free Full-Text | Multi-Resolution Image Segmentation Based on a  Cascaded U-ADenseNet for the Liver and Tumors
JPM | Free Full-Text | Multi-Resolution Image Segmentation Based on a Cascaded U-ADenseNet for the Liver and Tumors

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
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

The scans in Liver Tumor Segmentation Challenge (LiTS) 2017 dataset and...  | Download Scientific Diagram
The scans in Liver Tumor Segmentation Challenge (LiTS) 2017 dataset and... | Download Scientific Diagram

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
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

A study of generalization and compatibility performance of 3D U-Net  segmentation on multiple heterogeneous liver CT datasets | BMC Medical  Imaging | Full Text
A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets | BMC Medical Imaging | Full Text

Segmentation automatique des métastases hépatiques en imagerie TEP/TDM  basée sur l'apprentissage profond dans le cadre du cancer du sein  métastatique
Segmentation automatique des métastases hépatiques en imagerie TEP/TDM basée sur l'apprentissage profond dans le cadre du cancer du sein métastatique

Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients  with Colorectal Cancer Liver Metastases | Radiology: Artificial Intelligence
Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases | Radiology: Artificial Intelligence

LIT-DATASET
LIT-DATASET

CT-ORG, a new dataset for multiple organ segmentation in computed  tomography | Scientific Data
CT-ORG, a new dataset for multiple organ segmentation in computed tomography | Scientific Data

Automatic liver tumor segmentation used the cascade multi-scale attention  architecture method based on 3D U-Net | SpringerLink
Automatic liver tumor segmentation used the cascade multi-scale attention architecture method based on 3D U-Net | SpringerLink

Frontiers | Advanced Deep Learning Approach to Automatically Segment  Malignant Tumors and Ablation Zone in the Liver With Contrast-Enhanced CT
Frontiers | Advanced Deep Learning Approach to Automatically Segment Malignant Tumors and Ablation Zone in the Liver With Contrast-Enhanced CT

LiTS – Liver Tumor Segmentation Challenge (LiTS17) - Academic Torrents
LiTS – Liver Tumor Segmentation Challenge (LiTS17) - Academic Torrents

Liver Tumor Segmentation | Kaggle
Liver Tumor Segmentation | Kaggle

Liver and Liver Tumor Segmentation | Kaggle
Liver and Liver Tumor Segmentation | Kaggle

LIT-PCBA: An Unbiased Data Set for Machine Learning and Virtual Screening |  Journal of Chemical Information and Modeling
LIT-PCBA: An Unbiased Data Set for Machine Learning and Virtual Screening | Journal of Chemical Information and Modeling

LiTS17 Dataset | Papers With Code
LiTS17 Dataset | Papers With Code

The Liver Tumor Segmentation Benchmark (LiTS) - ScienceDirect
The Liver Tumor Segmentation Benchmark (LiTS) - ScienceDirect

Automatic liver tumor segmentation in CT with fully convolutional neural  networks and object-based postprocessing | Scientific Reports
Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing | Scientific Reports