Using a deep learning neural network for the identification of malignant cells in effusion cytology material.

Published in: Cytopathology : official journal of the British Society for Clinical Cytology (2023)

DCNN is a unique technology that can detect malignant cells from cytological images. The model works rapidly and there is no bias in cell selection or feature extraction. The present DCNN model is promising and can have a significant impact on the diagnosis of malignancy in cytology.

Keyphrases

deep learning
neural network
fine needle aspiration
high grade
induced apoptosis
convolutional neural network
machine learning
ultrasound guided
single cell
cell cycle arrest
cell therapy
endoplasmic reticulum stress
cell death
pi k akt