A novel deep network named IgrNet, which can model the relationships of pathological features of cervical cells from the same specimen by a technology of intra-group reference.
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Updated
Feb 17, 2020 - Jupyter Notebook
A novel deep network named IgrNet, which can model the relationships of pathological features of cervical cells from the same specimen by a technology of intra-group reference.
Finding Multiple Cutpoints for Continuous Variables for Cox Model, Use Lasso Model For Full Cox Model Selection
TIANCHI 天池 “数字人体”视觉挑战赛——宫颈癌风险智能诊断 算法赛道 LLLLC队代码 4/2359
Image classification of Pap-smears
Exploratory study on Cervical Cancer: verifying known causal relations and assessing risk factors from women medical history datasets.
Classification of cervical cancer using SVM is done on Herlev Pap Smear
Based on our paper on "A Fuzzy Rank-based Ensemble of CNN Models for Classification of Cervical Cytology" published in Nature- Scientific Reports.
Implementation of our paper "Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection"
Implementation of STN (Spatial Transformer Network) and ICSTN (Inverse Compositional Spatial Transformer Networks) in Tensorlayer to predict transformation parameters from 2D images.
This is a machine learning classifier of whether a patient has or does not have cervical cancer based on certain risk factors. The code is written in Python and executed on a Jupyter Notebook.
Based on our paper "Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection" published in SN Computer Science
Team Runtime Terror's submission for SheHacks - Hera Health a Breast cancer and Cervical cancer detecting website
It will be the supporting scripts for tct project.
Extreme gradient boosting algorithm (Xgboost)
Habiba Omran Thesis
Official Pytorch Implementation of our new paper 'Predicting Lymph Node Metastasis from Primary Cervical Cancer Based on Deep Learning in Histopathological Images.'
Cervical Cancer detection using Image Processing Techniques
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