3 citations · 5 across the 5 of their papers we have counts for
3 papers · 1 filter
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey
Saul Calderon-Ramirez, Shengxiang Yang, David Elizondo
Deep learning methodologies have been employed in several different fields, with an outstanding success in image recognition applications, such as material quality control, medical…
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities
Saul Calderon-Ramirez, Shengxiang Yang, David Elizondo +1
In the context of the global coronavirus pandemic, different deep learning solutions for infected subject detection using chest X-ray images have been proposed. However, deep learn…
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images
Willard Zamora-Cardenas, Mauro Mendez, Saul Calderon-Ramirez +5
Cell instance segmentation in fluorescence microscopy images is becoming essential for cancer dynamics and prognosis. Data extracted from cancer dynamics allows to understand and a…