Trends in digital image processing of isolated microalgae by incorporating classification algorithm
Identification of microalgae species is of importance due to the uprising of harmful algae
blooms affecting both the aquatic habitat and human health. Despite this occurence …
blooms affecting both the aquatic habitat and human health. Despite this occurence …
Microalgae identification: Future of image processing and digital algorithm
The identification of microalgae species is an important tool in scientific research and
commercial application to prevent harmful algae blooms (HABs) and recognizing potential …
commercial application to prevent harmful algae blooms (HABs) and recognizing potential …
A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches
Microorganisms play a vital role in human life. Therefore, microorganism detection is of great
significance to human beings. However, the traditional manual microscopic detection …
significance to human beings. However, the traditional manual microscopic detection …
Microalgae classification based on machine learning techniques
In this paper, two models for classification of microalgae species based on artificial neural
networks have been developed and validated. The models work in combination with …
networks have been developed and validated. The models work in combination with …
Microalgae biomass and biomolecule quantification: optical techniques, challenges and prospects
Microalgae have emerged as a potential raw material to produce a spectrum of industrially
significant biomolecules such as lipids, proteins, and carotenoids. Nevertheless, the …
significant biomolecules such as lipids, proteins, and carotenoids. Nevertheless, the …
A freshwater algae classification system based on machine learning with StyleGAN2-ADA augmentation for limited and imbalanced datasets
WH Chan, BSB Fung, DHK Tsang, IMC Lo - Water Research, 2023 - Elsevier
Automated algae classification using machine learning is a more efficient and effective
solution compared to manual classification, which can be tedious and time-consuming …
solution compared to manual classification, which can be tedious and time-consuming …
Algae: A robust living material against cancer
Z Xin, M Zhang, H Cui, X Ding, T Zhang… - International Journal …, 2023 - Taylor & Francis
Cancer is the second leading cause of death worldwide. Its incidence has been increasing
in recent years, and it is becoming a major threat to human health. Conventional cancer …
in recent years, and it is becoming a major threat to human health. Conventional cancer …
Computer vision based deep learning approach for the detection and classification of algae species using microscopic images
The natural phenomenon of harmful algae bloom (HAB) has a bad impact on the quality of
pure and freshwater. It increases the risk to human health, water bodies and overall aquatic …
pure and freshwater. It increases the risk to human health, water bodies and overall aquatic …
Advances towards automatic detection and classification of parasites microscopic images using deep convolutional neural network: methods, models and research …
In the developing world, parasites are responsible for causing several serious health
problems, with relatively high infections in human beings. The traditional manual light …
problems, with relatively high infections in human beings. The traditional manual light …
Accurate classification of algae using deep convolutional neural network with a small database
The variations in algal diversity and populations are essential for evaluating aquatic system
health. However, manual classification is time-consuming and labor-intensive. As AI has …
health. However, manual classification is time-consuming and labor-intensive. As AI has …