Publications

@article{mazo_transfer_2018,

title = {Transfer learning for classification of cardiovascular tissues in histological images},

author = {Claudia Mazo and Jose Bernal and María Trujillo and Enrique Alegre},

url = {https://www.sciencedirect.com/science/article/pii/S0169260718305297},

year  = {2018},

date = {2018-01-01},

journal = {Computer methods and programs in biomedicine},

volume = {165},

pages = {69–76},

abstract = {This paper proposes an automatic method for classifying healthy tissues and organs from histology images using Convolutional Neural Networks (CNNs). The approach aims to address the challenges in automated tissue and organ recognition, which is crucial for educational and medical purposes. By leveraging the powerful capabilities of deep learning, particularly CNNs, the method seeks to improve classification accuracy and efficiency, building on prior advances in image processing and supervised learning.},

note = {Publisher: Elsevier},

keywords = {cardiovascular system, Fundamental Tissues, Histological Images, Organs, SVM, Transfer Learning},

pubstate = {published},

tppubtype = {article}

}