Deep learning based HEp-2 image classification: A comprehensive review
Classification of HEp-2 cell patterns plays a significant role in the indirect
immunofluorescence test for identifying autoimmune diseases in the human body. Many …
immunofluorescence test for identifying autoimmune diseases in the human body. Many …
Performance of fine-tuning convolutional neural networks for HEP-2 image classification
The search for anti-nucleus antibodies (ANA) represents a fundamental step in the
diagnosis of autoimmune diseases. The test considered the gold standard for ANA research …
diagnosis of autoimmune diseases. The test considered the gold standard for ANA research …
Identification of HEp-2 specimen images with mitotic cell patterns
In this paper, we propose and analyze a novel framework to identify the HEp-2 specimen
images, consisting of mitotic spindle (MS) pattern cells. It is based on the fact that the cells …
images, consisting of mitotic spindle (MS) pattern cells. It is based on the fact that the cells …
[PDF][PDF] HEp-2 Intensity Classification based on Deep Fine-tuning.
The classification of HEp-2 images, conducted through Indirect ImmunoFluorescence (IIF)
gold standard method, in the positive/negative classes, is the first step in the diagnosis of …
gold standard method, in the positive/negative classes, is the first step in the diagnosis of …