Deep learning-based method for segmenting epithelial layer of tubules in histopathological images of testicular tissue.

Azadeh Fakhrzadeh Pouya KarimianMahsa MeyariCris L Luengo HendriksLena HolmChristian SonneRune DietzEllinor Spörndly-Nees

Published in: Journal of medical imaging (Bellingham, Wash.) (2023)

The pretrained ResNet-34 in the encoder and attention block suggested in the decoder result in better segmentation and generalization. The proposed method can be applied to testicular tissue images from any mammalian species and can be used as the first part of a fully automated testicular tissue processing pipeline. The dataset and codes are publicly available on GitHub.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
germ cell
machine learning