Deep Learning–Based Segmentation of <i>Trypanosoma cruzi</i> Nests in Histopathological Images

Deep Learning–Based Segmentation of <i>Trypanosoma cruzi</i> Nests in Histopathological Images

The use of artificial intelligence has shown good performance in the medical imaging area, in particular the deep learning methods based on convolutional neural networks for classification, detection, and/or segmentation tasks. The task addressed in this research work is the segmentation of amastigo...

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Bibliographic Details
Main Authors: Nidiyare Hevia-Montiel, Paulina Haro, Leonardo Guillermo-Cordero, Jorge Perez-Gonzalez
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Electronics
Subjects:
automatic nest segmentation
chagas disease
convolutional neural network
deep learning
histopathological imaging
<i>Trypanosoma cruzi</i> infection
Online Access:https://www.mdpi.com/2079-9292/12/19/4144

Internet

https://www.mdpi.com/2079-9292/12/19/4144

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