Value of high-resolution full-field optical coherence tomography and dynamic cell imaging for one-stop rapid diagnosis breast clinic.
Alexis SimonYasmina BadachiJacques RopersIsaura LaurentLida DongElisabeth Da MaiaAgnès BourcierGeoffroy CanlorbeCatherine UzanPublished in: Cancer medicine (2023)
With 74% PPV and 75% NPV, D-FFOCT is not yet ready to be used in clinical practice to identify breast cancer. This is mainly explained by the lack of experience and knowledge of this new technic by the four lectors. By training with the diagnosis algorithm and the image atlas, radiologists could have better outcomes allowing quick detection of breast cancer and lymph node involvement. Deep learning could also be used, and further investigation will follow.
Keyphrases
- deep learning
- high resolution
- lymph node
- artificial intelligence
- clinical practice
- single cell
- optical coherence tomography
- loop mediated isothermal amplification
- machine learning
- convolutional neural network
- healthcare
- primary care
- mass spectrometry
- cell therapy
- neoadjuvant chemotherapy
- label free
- diabetic retinopathy
- metabolic syndrome
- early stage
- photodynamic therapy
- insulin resistance
- adipose tissue
- sensitive detection
- virtual reality