Detecting mitotic cells in HEp-2 images as anomalies via one class classifier

K Gupta, A Bhavsar, AK Sao - Computers in biology and medicine, 2019 - Elsevier
We propose a novel framework for classification of mitotic v/s non-mitotic cells in a Computer
Aided Diagnosis (CAD) system for Anti-Nuclear Antibodies (ANA) detection. In the proposed …

HEp-2 staining pattern recognition at cell and specimen levels: datasets, algorithms and results

P Hobson, BC Lovell, G Percannella, A Saggese… - Pattern Recognition …, 2016 - Elsevier
Abstract The Indirect Immunofluorescence (IIF) protocol applied on Human Epithelial type 2
(HEp-2) cells is the current gold standard for the Antinuclear Antibody (ANA) test. The …

Classification of HEp-2 Staining Pattern Images Using Adapted Multilayer Perceptron Neural Network-Based Intra-Class Variation of Cell Shape

K Al-Dulaimi, J Banks, A Al-Sabaawi, K Nguyen… - Sensors, 2023 - mdpi.com
There exists a growing interest from the clinical practice research communities in the
development of methods to automate HEp-2 stained cells classification procedure from …

The best texture features for leukocytes recognition

O Sarrafzadeh, AM Dehnavi, HY Banaem… - Journal of Medical …, 2017 - journals.lww.com
Background: Differential counting of white blood cells (WBCs or leukocytes) is a common
task to diagnose many diseases such as leukemia, and infections. An accurate process for …

Deep metric learning for identification of mitotic patterns of HEp-2 cell images

K Gupta, D Thapar, A Bhavsar… - Proceedings of the …, 2019 - openaccess.thecvf.com
Automatic identification of mitotic type staining patterns in microscopy images is an important
and challenging task, in computer-aided diagnosis (CAD) of autoimmune diseases. Such …

Detection of mitotic HEp-2 cell images: role of feature representation and classification framework under class skew

K Gupta, A Bhavsar, AK Sao - Medical & Biological Engineering & …, 2022 - Springer
We propose and analyze a framework to detect and identify the mitotic type staining patterns
among different non-mitotic (interphase) patterns on HEp-2 cell substrate specimen images …

The empirical mode decomposition-decision tree method to recognize the steady-state visual evoked potentials with wide frequency range

S Sadeghi, A Maleki - Journal of Medical Signals & Sensors, 2018 - journals.lww.com
Background: The empirical mode decomposition (EMD) is a technique to analyze the steady-
state visual evoked potential (SSVEP) which decomposes the signal into its intrinsic mode …

Automated Classification of Cell Level of HEp-2 Microscopic Images Using Deep Convolutional Neural Networks-Based Diameter Distance Features

M Jensen, K Al-Dulaimi, KS Abduljabbar… - Journal of Universal …, 2023 - eprints.qut.edu.au
To identify autoimmune diseases in humans, analysis of HEp-2 staining patterns at cell level
is the gold standard for clinical practice research communities. An automated procedure is a …

An automated classification of HEp-2 cellular shapes using Bag-of-keypoint features and Ant Colony Optimization

K Devanathan, K Ganesan, R Swaminathan - … and Biomedical Engineering, 2021 - Elsevier
In this study, an attempt has been made to differentiate HEp-2 cellular shapes using Bag-of-
keypoint features and optimization. For this, the images are considered from a publicly …

A Proposal to Differentiate Homogenous and Speckled Shapes in Indirect Immunofluorescence Images Using Neutrosophic Sets

S Govindarajan, NR Parmaar… - Proceedings of the 2019 …, 2019 - dl.acm.org
Automated analysis of Indirect Immunofluorescence images is significant in the
computerized detection of Autoimmune Diseases (AIDs). The recognition of particular …