Data

Tools

Indexes

Applications

Experiments

Open Source Science

srld-net

https://github.com/runshi-zhang/srld-net

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: sciencedirect.com
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (2.4%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: Runshi-Zhang
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 25 MB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

Super-resolution Landmark Detection Networks for Medical Images

Here is the official implementation of the paper:

Zhang R, Mo H, Hu W, et al. Super-resolution landmark detection networks for medical images[J]. Computers in Biology and Medicine, 2024, 182: 109095.)

The neck and head of our proposed SRLD-Net is 'SRLD-Net/mmseg/models/decodeheads/ourfuseuperhead.py'. And the SR-UNet is 'SRLD-Net/mmseg/models/decodeheads/srposehead.py'.

Requirments

We trained our models depending on: Pytorch 1.13.1 Python 3.8 mmcv>=2.0.0rc1,<2.1.0 mmengine>=0.4.0,<1.0.0

Train and infer

The configs is located in /configs/3dnii/. The training and infering methods are according to openmmlab.

Reference and Acknowledgments

mmsegmentation

SRPose

Owner

  • Login: Runshi-Zhang
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "MMSegmentation Contributors"
title: "OpenMMLab Semantic Segmentation Toolbox and Benchmark"
date-released: 2020-07-10
url: "https://github.com/open-mmlab/mmsegmentation"
license: Apache-2.0

GitHub Events

Total
  • Watch event: 2
  • Push event: 1
  • Fork event: 1
Last Year
  • Watch event: 2
  • Push event: 1
  • Fork event: 1