Jun Shi (@shijun18)
github

shijun18

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  • Stars
    star
    95
  • Global Rank 215,630 (Top 8 %)
  • Followers 12
  • Following 2
  • Registered almost 6 years ago
  • Most used languages
    Python
         94.4 %
    Jupyter Notebook
         5.6 %
  • Location 🇨🇳 China
  • Country Total Rank 27,383
  • Country Ranking
    Jupyter Notebook
         3,047
    Python
         5,855

Top repositories

1

H-DenseFormer

A repo for H-DenseFormer: A Hybrid Densely Connected Transformer for Tumor Segmentation using Multimodal Medical Image.
Python
18
star
2

semantic-segmentation-transformer

Tranrformer for Semantic Segmentation of Medical Images
Python
8
star
3

torch_deploy

Learn to deploy torch model in production.
Python
7
star
4

PAAL-MedSeg

A repo for IJCAI24: Predictive Accuracy-Based Active Learning for Medical Image Segmentation.
Python
5
star
5

COVID-19_CLS

Covid-19 Classification
Jupyter Notebook
4
star
6

TMLI-PLAN

Study for automatic TMLI planing.
Python
4
star
7

XunFei_Classifier

Use for XunFei Classification Competition.
Python
4
star
8

shijun18

My personal repo
3
star
9

CTV_SEG_TF

For the segmentation of the clincal target volume of cervical cancer
Python
3
star
10

Lung_Seg

Automatic segmentation of the lesions of lung in CT images
Python
3
star
11

RS_SEG20

Deep learning for the segmentaion of remote-sensing image.
Python
3
star
12

Protein-Structure-Predict

Python
2
star
13

Spine_Seg

Python
2
star
14

Hecktor_Seg

This repository is built for HECKTOR challenge.
2
star
15

github-stats

github status
Python
2
star
16

Ovarian-Cancer-Diagnosis

Deep learning method for automatic diagnosis of ovarian cancer using CT images and clinical information.
Python
2
star
17

hello-world

Just another repository
1
star
18

GTV_AutoSeg

Repository for the paper: Rethinking Automatic Segmentation of Gross Target Volume from a Decoupling Perspective, the code will be avaiable soon.
Python
1
star
19

keras_test

test in keras for sw
Python
1
star
20

JFT_COVID-19

A Joint Learing Framework for Rapid Diagnosis and Severity Assessment of COVID-19
Python
1
star
21

TMLI_AutoSeg

Code for Automatic Segmentation of Target Structures for Total Marrow and Lymphoid Irradiation.
Python
1
star