193 citations · 196 across the 2 of their papers we have counts for
2 papers
stat.ML2018★ 3 cited
Identification and Visualization of the Underlying Independent Causes of the Diagnostic of Diabetic Retinopathy made by a Deep Learning Classifier
Jordi de la Torre, Aida Valls, Domenec Puig +1
Interpretability is a key factor in the design of automatic classifiers for medical diagnosis. Deep learning models have been proven to be a very effective classification algorithm…
cs.LG2017★ 193 cited
A Deep Learning Interpretable Classifier for Diabetic Retinopathy Disease Grading
Jordi de la Torre, Aida Valls, Domenec Puig
Deep neural network models have been proven to be very successful in image classification tasks, also for medical diagnosis, but their main concern is its lack of interpretability.…