liver
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LiTS - Liver Tumor Segmentation Challenge
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Aug 27, 2021 - Python
💥 Command line tool for automatic liver parenchyma and liver vessel segmentation in CT using a pretrained deep learning model
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Oct 7, 2024 - Python
R Data: Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations
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May 12, 2020 - R
3D Slicer extension for liver analysis and therapy planning
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Mar 16, 2025 - C++
CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver
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Feb 7, 2025 - Python
MultiResDenseUNet (SVOISP-2021-KH&KTMT-125) - Winner (3rd Prize) of The 10th Science and Technology Symposium for OISP Students. Ho Chi Minh City University Of Technology, Vietnam.
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Oct 17, 2023 - Jupyter Notebook
End-to-end AI Liver Segmentation Network on CT
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May 27, 2023 - Jupyter Notebook
Fatty Liver Level Recognition Using Particle Swarm optimization (PSO) Image Segmentation and Analysis
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Nov 23, 2024 - Python
Evaluation of volume-to-surface non-rigid registration using the PBSM method
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Mar 30, 2020 - Python
User-friendly software for organizing/processing/annotating ultrasound scans of sea turtles
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Jun 3, 2024 - Python
大学本科毕业设计
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Aug 11, 2017 - Python
Image Domain Transfer with CycleGAN
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Jun 23, 2024 - Jupyter Notebook
GUNETR_pplus: Gradient enhanced UNETR_pplus with LiTS liver segmentation
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Jan 16, 2025 - Python
Computer Vision with PyTorch for Medical Image Analysis
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Aug 12, 2022 - Jupyter Notebook
Gut microbiota fuels HCC development by shaping the hepatic inflammatory microenvironment
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Jul 7, 2020 - R
Codes for my project called " Fatty Liver Classification and Scaling: from 0 to 2 using CNN." In this project, I've created my own neural network and trained it with the images of the kidneys with the fat level scaling from 0 to 2. With each given new data to the network, the programme indicates which level of fatness the liver is categorized.
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Feb 15, 2022 - Jupyter Notebook
Generate expression matrix from microarray data derived from BXD liver
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Jun 24, 2021 - HTML
It is a standalone application that can help radiologist in segmenting liver (DICOM image) using a region growing function and contouring to find the area of the segmented liver along with manual segmentation where the radiologist can segment the diseased liver manually along with providing notes for the segmented region.
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Nov 14, 2022 - Jupyter Notebook
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