Home PFEE - Sujet 5: Breast cancer detection - GE
Post
Cancel

PFEE - Sujet 5: Breast cancer detection - GE

Lien de la note Hackmd

X-ray breast imaging

  • worldwide breast cancer account for $25.2\%$ of all female cancers and 16% of cancer deaths in adult women
  • mammography uses low-energy X-ray

  • Certaines lesions sont begnines

Lesions

Artificial intelligence applications

  • AI tools are becoming a must-have for mammography screening systems
  • They can provide significant speed increase of radiologist workflow and more importantly improve quality of their job
  • Possible applications:
    • Negative Triage
      • AI algorithm triage of negative cases in order to allow radiologist to concentrate on more important points
    • AI CAD
    • Detect cancer at very early stages which can not be identified by radiologist

Project description

  • Perform analysis of object detection state-of-the-art methods
  • Define model architecture on the example of public dataset
    • Digital Database for Screening Mammography
  • Implement pipeline for model training
  • Perform training and optimization of the model

Question

C’est en python ?

Oui

Si j’ai bien compris le projet est a réalisé depuis le tt début ? Il y a rien de fait ?

A deja un prototype, le deep learning se developpe tres vite et veut investiguer des nouvelles propositions

This post is licensed under CC BY 4.0 by the author.