Digital Cytology Image Research Overview

In the future 5 articles, I will introduce my work in Acalab@SJTU, especially the idea and details beyond my publications and patents.

In the future 5 articles published before 2020. Feb(hopefully), I will introduce my work in Acalab@SJTU, especially the publications and patents. The article will be an interpretation of those publications and will be written beyond those words on publications and papers.

By the way, this article is a test article for some technique in wordpress.com. So it might be a little messy and be edited frequently.

The contents of the 5 articles are listed as following:

• Noise reduction with image inpainting: Application on Digital Cytology
  • Introduction to dataset and problem we want to solve
  • Neural Network Model and Topology Operation
  • Fast PatchMatch Algorithm
• Two-Stage Segmentation on Digital Cytology
  • Introduction to Problem we want to solve
  • Neural Network Model and Two-Stage mechanism

My relevant publications and pattens are listed as following:

• Noise reduction with image inpainting: Application on Digital Cytology
  • Noise reduction with image inpainting: an application in clinical data diagnosis@SIGGRAPH 2019
  • Assessment and Elimination of Inflammatory Cell: A Machine Learning Approach in Digital Cytology@Dicta 2019
  • The inflammatory cell removing method of uterine neck Thinprep image
• Two-Stage Segmentation on Digital Cytology
  • Detection, segmentation and classification for cervical cytology image@ISMB 2019
  • An Accurate Neural Network for Cytologic Whole-Slide Image Analysis@HIKM 2020