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Classification of Chemotherapy Whole Slide Image (Pahtological Image). 2022年卒-備瀬研-荒木健吾

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Classification of Chemotherapy Pathological Image

2022年卒-備瀬研-荒木健吾


Task

  • 3-class classification
  • Calculate residual tumor ratio of each WSI
    residual tumor ratio: Residual tumor/ (Residual turmor + Tumor bed)

Dataset

Chemotherapy Whole Slide Image (WSI)

Class:

  • Non-Neoplasm
  • Tumor bed
  • Residual tumor

Extension:
WSI (.ndpi), Annotation file (.xml)

Number of samples:
(March 9th, 2022)

  • WSI: 112
  • Case (Patient): 55

About ndpi/xml name:
e.g., H〇〇-〇〇〇〇〇_■.ndpi/xml

  • H〇〇-〇〇〇〇〇: Case name
  • ■: Serial number of the case

Directory

  • analysis:
    To calculate residual tumor ratio
  • annotation:
    To preprocess and visualize annotated area from original WSI (.ndpi)annotation file (.xml)
  • config:
    Config files of experiments (src & src_multi)
  • environment:
    Environment files for this project (Anaconda)
  • preprocess:
    Preprocess for an experiment. Split into patches basis on its annotated class.
  • src:
    Experimet files for single-scale model
  • src_multi:
    Experiment files for multi-scale model
  • visualize:
    To modify a figure

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Classification of Chemotherapy Whole Slide Image (Pahtological Image). 2022年卒-備瀬研-荒木健吾

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