Bacterial vaginosis: current diagnostic avenues and future opportunities

MJ Redelinghuys, J Geldenhuys, H Jung… - Frontiers in cellular and …, 2020 - frontiersin.org
A healthy female genital tract harbors a microbiome dominated by lactic acid and hydrogen
peroxide producing bacteria, which provide protection against infections by maintaining a …

[HTML][HTML] Image analysis and artificial intelligence in infectious disease diagnostics

KP Smith, JE Kirby - Clinical Microbiology and Infection, 2020 - Elsevier
Background Microbiologists are valued for their time-honed skills in image analysis,
including identification of pathogens and inflammatory context in Gram stains, ova and …

Melanoma recognition in dermoscopy images via aggregated deep convolutional features

Z Yu, X Jiang, F Zhou, J Qin, D Ni… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
In this paper, we present a novel framework for dermoscopy image recognition via both a
deep learning method and a local descriptor encoding strategy. Specifically, deep …

[HTML][HTML] Meta-learning with implicit gradients in a few-shot setting for medical image segmentation

R Khadka, D Jha, S Hicks, V Thambawita… - Computers in Biology …, 2022 - Elsevier
Widely used traditional supervised deep learning methods require a large number of
training samples but often fail to generalize on unseen datasets. Therefore, a more general …

A deep convolutional neural network-based framework for automatic fetal facial standard plane recognition

Z Yu, EL Tan, D Ni, J Qin, S Chen, S Li… - IEEE journal of …, 2017 - ieeexplore.ieee.org
Ultrasound imaging has become a prevalent examination method in prenatal diagnosis.
Accurate acquisition of fetal facial standard plane (FFSP) is the most important precondition …

Deep neural networks offer morphologic classification and diagnosis of bacterial vaginosis

Z Wang, L Zhang, M Zhao, Y Wang, H Bai… - Journal of Clinical …, 2021 - Am Soc Microbiol
Bacterial vaginosis (BV) is caused by the excessive and imbalanced growth of bacteria in
vagina, affecting 30 to 50% of women. Gram staining followed by Nugent scoring based on …

[HTML][HTML] Automated bacteria genera classification using histogram-oriented optimized capsule network

JP Chaudhari, H Mewada, AV Patel… - Engineering Science and …, 2023 - Elsevier
Identifying the nature and type of bacteria is essential in diagnosing various fatal diseases
and their treatments. Biologists classify bacteria using morphological characterization from …

AGMB-transformer: Anatomy-guided multi-branch transformer network for automated evaluation of root canal therapy

Y Li, G Zeng, Y Zhang, J Wang, Q **… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Accurate evaluation of the treatment result on X-ray images is a significant and challenging
step in root canal therapy since the incorrect interpretation of the therapy results will hamper …

Automatic Bacillus anthracis bacteria detection and segmentation in microscopic images using UNet++

F Hoorali, H Khosravi, B Moradi - Journal of Microbiological Methods, 2020 - Elsevier
Anthrax is one of the important diseases in humans and animals, caused by the gram-
positive bacteria spores called Bacillus anthracis. The disease is still one of the health …

Segmentation of weakly visible environmental microorganism images using pair-wise deep learning features

F Kulwa, C Li, M Grzegorzek, MM Rahaman… - … Signal Processing and …, 2023 - Elsevier
Abstract The use of Environmental Microorganisms (EMs) offers a highly efficient, low cost
and harmless remedy to environmental pollution, by monitoring and decomposing of …