图像异常检测研究现状综述
吕承侃， 沈飞， 张正涛， 张峰 - 自动化学报, 2022 - aas.net.cn
图像异常检测是计算机视觉领域的一个热门研究课题, 其目标是在不使用真实异常样本的情况下
, 利用现有的正常样本构建模型以检测可能出现的各种异常图像, 在工业外观缺陷检测 …
, 利用现有的正常样本构建模型以检测可能出现的各种异常图像, 在工业外观缺陷检测 …
[HTML][HTML] Comparing convolutional neural networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images
Autoimmune diseases are the third highest cause of mortality in the world, and the
identification of an anti-nuclear antibody via an immunofluorescence test for HEp-2 cells is a …
identification of an anti-nuclear antibody via an immunofluorescence test for HEp-2 cells is a …
A deep learning self-attention cross residual network with Info-WGANGP for mitotic cell identification in HEp-2 medical microscopic images
A Anaam, MA Al-antari, A Gofuku - Biomedical Signal Processing and …, 2023 - Elsevier
Background The identification of human epithelial type-2 mitotic cell patterns in the indirect
immunofluorescence images (IIF HEp-2) is a critical step for autoimmune diseases computer …
immunofluorescence images (IIF HEp-2) is a critical step for autoimmune diseases computer …
Data-driven soft independent modeling of class analogy in paper spray ionization mass spectrometry-based metabolomics for rapid detection of prostate cancer
Sensitive, rapid, and meaningful diagnostic tools for prostate cancer (PC) screening are
urgently needed. Paper spray ionization mass spectrometry (PSI-MS) is an emerging rapid …
urgently needed. Paper spray ionization mass spectrometry (PSI-MS) is an emerging rapid …
Mitosis detection in breast cancer histopathology images using hybrid feature space
Breast Cancer grading is a challenging task as regards image analysis, which is normally
based on mitosis count rate. The mitotic count provides an estimate of aggressiveness of the …
based on mitosis count rate. The mitotic count provides an estimate of aggressiveness of the …
Recognition of rare antinuclear antibody patterns based on a novel attention-based enhancement framework
J Zeng, X Gao, L Gao, Y Yu, L Shen… - Briefings in …, 2024 - academic.oup.com
Rare antinuclear antibody (ANA) pattern recognition has been a widely applied technology
for routine ANA screening in clinical laboratories. In recent years, the application of deep …
for routine ANA screening in clinical laboratories. In recent years, the application of deep …
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 …
An Improved Framework for Airport Detection Under the Complex and Wide Background
N Li, L Cheng, C Ji, S Dongye… - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
As an important transportation facility, airports substantially affect the economic lives of
people. However, the full extraction of airports located in a vast area is concerning. The size …
people. However, the full extraction of airports located in a vast area is concerning. The size …
Deep convolutional neural network-based anomaly detection for organ classification in gastric X-ray examination
Aim: The aim of this study was to determine whether our deep convolutional neural network-
based anomaly detection model can distinguish differences in esophagus images and …
based anomaly detection model can distinguish differences in esophagus images and …
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 …