Glomerulus Classification and Detection Based on Convolutional Neural Networks†
AbstractGlomerulus classification and detection in kidney tissue segments are key processes in nephropathology used for the correct diagnosis of the diseases. In this paper, we deal with the challenge of automating Glomerulus classification and detection from digitized kidney slide segments using a deep learning framework. The proposed method applies Convolutional Neural Networks (CNNs) between two classes: Glomerulus and Non-Glomerulus, to detect the image segments belonging to Glomerulus regions. We configure the CNN with the public pre-trained AlexNet model and adapt it to our system by learning from Glomerulus and Non-Glomerulus regions extracted from training slides. Once the model is trained, labeling is performed by applying the CNN classification to the image blocks under analysis. The results of the method indicate that this technique is suitable for correct Glomerulus detection in Whole Slide Images (WSI), showing robustness while reducing false positive and false negative detections. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Gallego, J.; Pedraza, A.; Lopez, S.; Steiner, G.; Gonzalez, L.; Laurinavicius, A.; Bueno, G. Glomerulus Classification and Detection Based on Convolutional Neural Networks. J. Imaging 2018, 4, 20.
Gallego J, Pedraza A, Lopez S, Steiner G, Gonzalez L, Laurinavicius A, Bueno G. Glomerulus Classification and Detection Based on Convolutional Neural Networks. Journal of Imaging. 2018; 4(1):20.Chicago/Turabian Style
Gallego, Jaime; Pedraza, Anibal; Lopez, Samuel; Steiner, Georg; Gonzalez, Lucia; Laurinavicius, Arvydas; Bueno, Gloria. 2018. "Glomerulus Classification and Detection Based on Convolutional Neural Networks." J. Imaging 4, no. 1: 20.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.