A comprehensive review for breast histopathology image analysis using classical and deep neural networks
Breast cancer is one of the most common and deadliest cancers among women. Since
histopathological images contain sufficient phenotypic information, they play an …
histopathological images contain sufficient phenotypic information, they play an …
Deep learning for imaging and detection of microorganisms
Y Zhang, H Jiang, T Ye, M Juhas - Trends in Microbiology, 2021 - cell.com
Despite tremendous recent interest, the application of deep learning in microbiology has still
not reached its full potential. To tackle the challenges faced by human-operated microscopy …
not reached its full potential. To tackle the challenges faced by human-operated microscopy …
Applications of deep learning in electron microscopy
We review the growing use of machine learning in electron microscopy (EM) driven in part
by the availability of fast detectors operating at kiloHertz frame rates leading to large data …
by the availability of fast detectors operating at kiloHertz frame rates leading to large data …
Automatic detection, localization and segmentation of nano-particles with deep learning in microscopy images
With the growing amount of high resolution microscopy images automatic nano-particle
detection, shape analysis and size determination have gained importance for providing …
detection, shape analysis and size determination have gained importance for providing …
Virus detection and identification in minutes using single-particle imaging and deep learning
The increasing frequency and magnitude of viral outbreaks in recent decades, epitomized
by the COVID-19 pandemic, has resulted in an urgent need for rapid and sensitive …
by the COVID-19 pandemic, has resulted in an urgent need for rapid and sensitive …
A state-of-the-art survey for microorganism image segmentation methods and future potential
Microorganisms play a great role in ecosystem, wastewater treatment, monitoring of
environmental changes, and decomposition of waste materials. However, some of them are …
environmental changes, and decomposition of waste materials. However, some of them are …
[HTML][HTML] TEM virus images: Benchmark dataset and deep learning classification
DJ Matuszewski, IM Sintorn - Computer Methods and Programs in …, 2021 - Elsevier
Abstract Background and Objective To achieve the full potential of deep learning (DL)
models, such as understanding the interplay between model (size), training strategy, and …
models, such as understanding the interplay between model (size), training strategy, and …
Disentangling Rotational Dynamics and Ordering Transitions in a System of Self-Organizing Protein Nanorods via Rotationally Invariant Latent Representations
The dynamics of complex ordering systems with active rotational degrees of freedom
exemplified by protein self-assembly is explored using a machine learning workflow that …
exemplified by protein self-assembly is explored using a machine learning workflow that …
Adventitious agent detection methods in bio-pharmaceutical applications with a focus on viruses, bacteria, and mycoplasma
Highlights•Adventitious agent detections are important due to regulatory affair and
versatility.•Novel biosensors present avenues for real-time adventitious agent …
versatility.•Novel biosensors present avenues for real-time adventitious agent …
Harnessing of artificial intelligence for the diagnosis and prevention of hospital-acquired infections: a systematic review
B Baddal, F Taner, D Uzun Ozsahin - Diagnostics, 2024 - mdpi.com
Healthcare-associated infections (HAIs) are the most common adverse events in healthcare
and constitute a major global public health concern. Surveillance represents the foundation …
and constitute a major global public health concern. Surveillance represents the foundation …