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 …
mACPpred: a support vector machine-based meta-predictor for identification of anticancer peptides
Anticancer peptides (ACPs) are promising therapeutic agents for targeting and killing cancer
cells. The accurate prediction of ACPs from given peptide sequences remains as an open …
cells. The accurate prediction of ACPs from given peptide sequences remains as an open …
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 …
Deep convolutional neural network for HEp-2 fluorescence intensity classification
Featured Application In this paper we describe an automatic system for fluorescence
intensity classification to support the autoimmune diagnostics in HEp-2 image analysis. The …
intensity classification to support the autoimmune diagnostics in HEp-2 image analysis. The …
Deep active learning for automatic mitotic cell detection on HEp-2 specimen medical images
Identifying Human Epithelial Type 2 (HEp-2) mitotic cells is a crucial procedure in anti-
nuclear antibodies (ANAs) testing, which is the standard protocol for detecting connective …
nuclear antibodies (ANAs) testing, which is the standard protocol for detecting connective …
Deep CNN for IIF images classification in autoimmune diagnostics
The diagnosis and monitoring of autoimmune diseases are very important problem in
medicine. The most used test for this purpose is the antinuclear antibody (ANA) test. An …
medicine. The most used test for this purpose is the antinuclear antibody (ANA) test. An …
Application of supervised machine learning to recognize competent level and mixed antinuclear antibody patterns based on ICAP international consensus
YD Wu, RK Sheu, CW Chung, YC Wu, CC Ou… - Diagnostics, 2021 - mdpi.com
Background: Antinuclear antibody pattern recognition is vital for autoimmune disease
diagnosis but labor-intensive for manual interpretation. To develop an automated pattern …
diagnosis but labor-intensive for manual interpretation. To develop an automated pattern …
Sedimentation of halloysite nanotubes from different deposits in aqueous media at variable ionic strengths
Halloysite clay is a natural nanomaterial that is attracting a growing interest in colloidal
science. The halloysite aqueous dispersion stability is a key aspect for the configuration of a …
science. The halloysite aqueous dispersion stability is a key aspect for the configuration of a …
[PDF][PDF] Application of the deep convolutional neural network for the classification of auto immune diseases
F Muhammad, J Khan, A Ullah, F Ullah… - CMC-Comput Mater …, 2023 - cdn.techscience.cn
ABSTRACT IIF (Indirect Immune Florescence) has gained much attention recently due to its
importance in medical sciences. The primary purpose of this work is to highlight a step-by …
importance in medical sciences. The primary purpose of this work is to highlight a step-by …
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 …