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 …
Classification of renal biopsy direct immunofluorescence image using multiple attention convolutional neural network
L Zhang, M Li, Y Wu, F Hao, C Wang, W Han… - Computer Methods and …, 2022 - Elsevier
Background and objectives Direct immunofluorescence (DIF) is an important medical
evaluation tool for renal pathology. In the DIF images, the deposition appearances and …
evaluation tool for renal pathology. In the DIF images, the deposition appearances and …
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 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 …
An automatic HEp-2 specimen analysis system based on an active contours model and an SVM classification
Featured Application In this paper we describe a complete system (fluorescence intensity
classification, image preprocessing, cell segmentation, cell classification, and image …
classification, image preprocessing, cell segmentation, cell classification, and image …
Computer vision in autoimmune diseases diagnosis—Current status and perspectives
Computer science and specifically the sector of artificial intelligence, after many years of
basic research, has recently developed the computer's interpretation of medical images that …
basic research, has recently developed the computer's interpretation of medical images that …
Binary grey wolf optimizer based feature selection for nucleolar and centromere staining pattern classification in indirect immunofluorescence images
K Devanathan, N Ganapathy… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
In this work, an attempt is made to distinguish nucleolar and centromere staining patterns
using Bag-of-Keypoint Features (BoKF) model and Binary Grey Wolf Optimization (BGWO) …
using Bag-of-Keypoint Features (BoKF) model and Binary Grey Wolf Optimization (BGWO) …
[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 …
[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 …
A Microcalcification Detection System in Mammograms based on ANN Clustering
Breast cancer is one of the leading causes to women mortality in the world. Clustered
microcalcifications (MCs) in mammograms can be an important early sign of breast cancer …
microcalcifications (MCs) in mammograms can be an important early sign of breast cancer …