https://github.com/pingjunchen/thyroidinteractive

Suspicious Regions-Based Whole Slide Image Analysis
https://github.com/pingjunchen/thyroidinteractive

computational-pathology computer-aided-diagnosis deep-learning deep-representation retrieval suspicious-region wsi

Last synced: 5 months ago
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Suspicious Regions-Based Whole Slide Image Analysis

• Host: GitHub
• URL: https://github.com/pingjunchen/thyroidinteractive
• Owner: PingjunChen
• License: mit
• Created: 2019-05-14T05:44:02.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2022-11-22T04:32:59.000Z (over 3 years ago)
• Last Synced: 2023-03-02T21:22:59.662Z (over 3 years ago)
• Topics: computational-pathology, computer-aided-diagnosis, deep-learning, deep-representation, retrieval, suspicious-region, wsi
• Language: Python
• Homepage:
• Size: 4.09 MB
• Stars: 9
• Watchers: 2
• Forks: 2
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
Interactive Thyroid Whole Slide Image Diagnostic System using Deep Representation

----------------

### Intro

With the aim of computer-aided diagnosis and the insights that suspicious regions are generally easy to identify,

we develop an interactive histopathology whole slide image diagnostic system based on the suspicious regions

preselected by pathologists. We propose to generate the feature representation for these suspicious regions

via extracting and fusing patch features using deep neural networks. The pipeline of the proposed system is shown as

below:

![roi_wsi_system](roi_wsi_system.png)

### Methods

#### 1.1 patchCLS

- Patch classifier for feature extraction.

#### 1.2 genFeas

- Generate the representation for these suspicious regions for following analysis.

#### 1.3 roiCLS

- Diagnose the suspicious region

#### 1.4 retrieval

- Retrieve similar regions for reference

### Citation

Please consider cite the paper if this repository facilitates your research.

```

@article{chen2020interactive,

  title={Interactive Thyroid Whole Slide Image Diagnostic System using Deep Representation},

  author={Chen, Pingjun and Shi, Xiaoshuang and Liang, Yun and Li, Yuan and Yang, Lin and Gader, Paul D},

  journal={Computer Methods and Programs in Biomedicine},

  volume={195},

  pages={105630},

  year={2020},

  doi={https://doi.org/10.1016/j.cmpb.2020.105630},

  publisher={Elsevier}

}

```