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 …
A survey for cervical cytopathology image analysis using deep learning
Cervical cancer is one of the most common and deadliest cancers among women. Despite
that, this cancer is entirely treatable if it is detected at a precancerous stage. Pap smear test …
that, this cancer is entirely treatable if it is detected at a precancerous stage. Pap smear test …
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 …
Sem-rcnn: a squeeze-and-excitation-based mask region convolutional neural network for multi-class environmental microorganism detection
This paper proposes a novel Squeeze-and-excitation-based Mask Region Convolutional
Neural Network (SEM-RCNN) for Environmental Microorganisms (EM) detection tasks. Mask …
Neural Network (SEM-RCNN) for Environmental Microorganisms (EM) detection tasks. Mask …
Segmentation of weakly visible environmental microorganism images using pair-wise deep learning features
Abstract The use of Environmental Microorganisms (EMs) offers a highly efficient, low cost
and harmless remedy to environmental pollution, by monitoring and decomposing of …
and harmless remedy to environmental pollution, by monitoring and decomposing of …
Digital image analysis of cocci bacterial cells using active contour method
PS Hiremath, P Bannigidad - 2010 international conference on …, 2010 - ieeexplore.ieee.org
The objective of the present study is to develop an automatic tool to identify and classify the
different types of cocci bacterial cells in digital microscopic cell images using active contour …
different types of cocci bacterial cells in digital microscopic cell images using active contour …
[PDF][PDF] Identification and classification of adenovirus particles in digital microscopic images using active contours
M Hiremath - International Journal of Modern Education and …, 2014 - mecs-press.org
Medical imaging is the technique and process used to create images of the human body or
medical science. Digital image processing is the use of computer algorithms to perform …
medical science. Digital image processing is the use of computer algorithms to perform …
[PDF][PDF] DETECTION OF CANCER IN HUMAN BLOOD BASED ON MICROSCOPIC IMAGES
N HARSHITHA - 2017 - 118.151.209.133
The microscopic pictures are examined visually by hematologists and the process is tedious
and timetaking. The automatic image handling framework is required that can overcome …
and timetaking. The automatic image handling framework is required that can overcome …
[PDF][PDF] Segmentation of Rotavirus-A Particles in Microscopic Images Based on Feature Fusion in Active Contour Model
M Hiremath, PS Hiremath - academia.edu
The segmentation is the prominent stage in image processing, where a significant
commitment is made during automated analysis by delineating structures of interest and …
commitment is made during automated analysis by delineating structures of interest and …
Development of gray level co-occurrence matrix based support vector machines for particulate matter characterization
K Tirumazhisai Manivannan - 2012 - rave.ohiolink.edu
Particulate matter is a highly complex mixture of very minute particles and liquid droplets
present in the atmosphere. These inhalable particles can potentially cause heart and lungs …
present in the atmosphere. These inhalable particles can potentially cause heart and lungs …