Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual transformer

A new pairwise deep learning feature for environmental microorganism image analysis

(2022) Frank Kulwa et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

A Comparative Study of Deep Learning Classification Methods on a Small Environmental Microorganism Image Dataset (EMDS-6): From Convolutional Neural Networks to Visual Transformers

(2022) Peng Zhao et al.   Frontiers in Microbiology

EMDS-5: Environmental Microorganism image dataset Fifth Version for multiple image analysis tasks

(2021) Zihan Li et al.   PLoS One

LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation

(2021) Jinghua Zhang et al.   PATTERN RECOGNITION

A State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development

(2021) Shiliang Ai et al.   Biomed Research International

A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches

(2021) Jiawei Zhang et al.   ARTIFICIAL INTELLIGENCE REVIEW

Classification of foodborne bacteria using hyperspectral microscope imaging technology coupled with convolutional neural networks‡

(2020) Rui Kang et al.   APPLIED MICROBIOLOGY AND BIOTECHNOLOGY

Method for Training Convolutional Neural Networks for In Situ Plankton Image Recognition and Classification Based on the Mechanisms of the Human Eye

(2020) Xuemin Cheng et al.   SENSORS

Single-cell classification of foodborne pathogens using hyperspectral microscope imaging coupled with deep learning frameworks

(2020) Rui Kang et al.   SENSORS AND ACTUATORS B-CHEMICAL

Generalizing from a Few Examples

(2020) Yaqing Wang et al.   ACM COMPUTING SURVEYS

Identification and enumeration of cyanobacteria species using a deep neural network

(2020) Sang-Soo Baek et al.   ECOLOGICAL INDICATORS

A Multiscale CNN-CRF Framework for Environmental Microorganism Image Segmentation

(2020) Jinghua Zhang et al.   Biomed Research International

Gastric histopathology image segmentation using a hierarchical conditional random field

(2020) Changhao Sun et al.   Biocybernetics and Biomedical Engineering

Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches

(2020) Md Mamunur Rahaman et al.   Journal of X-Ray Science and Technology

Automated classification of bacterial cell sub-populations with convolutional neural networks

(2020) Denis Tamiev et al.   PLoS One

Deep learning and transfer learning features for plankton classification

(2019) Alessandra Lumini et al.   Ecological Informatics

Enhanced convolutional neural network for plankton identification and enumeration

(2019) Kaichang Cheng et al.   PLoS One

Deep Learning for Generic Object Detection: A Survey

(2019) Li Liu et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Object Detection With Deep Learning: A Review

(2019) Zhong-Qiu Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

A Fungus Spores Dataset and a Convolutional Neural Networks based Approach for Fungus Detection

(2018) Muhammad Waseem Tahir et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

Environmental microorganism classification using conditional random fields and deep convolutional neural networks

(2018) Sergey Kosov et al.   PATTERN RECOGNITION

Digital image analysis in breast pathology—from image processing techniques to artificial intelligence

(2018) Stephanie Robertson et al.   Translational Research

Detection of herpesvirus capsids in transmission electron microscopy images using transfer learning

(2018) K. Shaga Devan et al.   HISTOCHEMISTRY AND CELL BIOLOGY

Automated plankton image analysis using convolutional neural networks

(2018) Jessica Y. Luo et al.   LIMNOLOGY AND OCEANOGRAPHY-METHODS

Automated Diatom Classification (Part B): A Deep Learning Approach

(2017) Anibal Pedraza et al.   Applied Sciences-Basel

Deep learning approach to bacterial colony classification

(2017) Bartosz Zieliński et al.   PLoS One

Automated object and image level classification of TB images using support vector neural network classifier

(2016) Ebenezer Priya et al.   Biocybernetics and Biomedical Engineering

Application of content-based image analysis to environmental microorganism classification

(2015) Chen Li et al.   Biocybernetics and Biomedical Engineering

In situ DNA-hybridization chain reaction (HCR): a facilitated in situ HCR system for the detection of environmental microorganisms

(2015) Tsuyoshi Yamaguchi et al.   ENVIRONMENTAL MICROBIOLOGY

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Automated Identification of Tuberculosis Objects in Digital Images Using Neural Network and Neuro Fuzzy Inference Systems

(2015) Ebenezer Priya et al.   Journal of Medical Imaging and Health Informatics

PlanktoVision – an automated analysis system for the identification of phytoplankton

(2013) Katja Schulze et al.   BMC BIOINFORMATICS

Classification and retrieval on macroinvertebrate image databases

(2011) Serkan Kiranyaz et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Segmentation of virus particle candidates in transmission electron microscopy images

(2011) G. KYLBERG et al.   JOURNAL OF MICROSCOPY

Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea

(2011) R. Di Mauro et al.   JOURNAL OF SEA RESEARCH

Stalked protozoa identification by image analysis and multivariable statistical techniques

(2008) A. L. Amaral et al.   ANALYTICAL AND BIOANALYTICAL CHEMISTRY

Rapid Detection of Microorganisms Using Image Processing Parameters and Neural Network

(2008) Saurabh Kumar et al.   Food and Bioprocess Technology

Representational Power of Restricted Boltzmann Machines and Deep Belief Networks

(2008) Nicolas Le Roux et al.   NEURAL COMPUTATION