Recognition of airborne fungi spores in digital microscopic images
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/9258/29387/01334592.pdf?arnumber=1334592
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2. Sporify: An Automated Tool to Quantify Spores in Z-Stacked 3D Samples;Biomimetic and Biohybrid Systems;2023
3. SEM-RCNN: A Squeeze-and-Excitation-Based Mask Region Convolutional Neural Network for Multi-Class Environmental Microorganism Detection;Applied Sciences;2022-10-01
4. A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches;Artificial Intelligence Review;2022-06-07
5. A survey for the applications of content-based microscopic image analysis in microorganism classification domains;Artificial Intelligence Review;2017-08-02
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