• Dr. P. Mohanaiah
• R. V. R. Abhiram
• SK. Namaji
• P. Likith
• Y. Siddardha

The application of Machine Learning for microorganisms, especially type of microorganism recognition, becomes attractive because it can reduce the analyzing time of microorganism classification and eliminate human error compared to the classic biological techniques. Therefore, the recognition of microorganisms based on Deep Learning increases the efficiency and accuracy of the diagnostic process for infected patients. Deep Learning is a type of Machine Learning that uses a deep layered structure called an Artificial Neural Network (ANN). This project proposes the possibility of using image classification and deep learning methods to recognize the type of microorganism, comparing cell image data-quality between our standard-resolution dataset and high-resolution dataset. The experimental results have shown that microorganism cell images from microscope are able to be recognized.

Deep Learning based Bio-lens for Microorganism Image Classification

"Deep Learning based Bio-lens for Microorganism Image Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.d891-d896, May-2024, Available :http://www.jetir.org/papers/JETIR2405399.pdf

"Deep Learning based Bio-lens for Microorganism Image Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppd891-d896, May-2024, Available at : http://www.jetir.org/papers/JETIR2405399.pdf