Mask R-CNN and U-Net segmentation models and experimental results on segmenting virtual slide images of diatom preparations from river Menne.</p
Effects of tiling method, training data set size and prediction threshold on the segmentation perfor...
International audienceImage segmentation is a field that has known huge breakthroughs this last deca...
Diatoms represent one of the morphologically and taxonomically most diverse groups of microscopic eu...
This archive contains the models and the results of the deep learning experiments published in Klost...
U-Net is the go-to approach for biomedical segmentation applications. However, it is not designed to...
Imaging sonar systems are widely used for monitoring fish behavior in turbid or low ambient light wa...
Neural networks are a large number of interconnected mathematical neural models. Neural networks are...
Measurements of morphometrical parameters on i.e., fish larvae are useful for assessing the quality ...
Determining the size and shape of coarse sediment is of paramount importance to many applications (e...
In the recent era of AI, instance segmentation has significantly advanced boundary and object detect...
This archive contains the slide scans used for the deep learning experiments published in Kloster et...
<p>Images of bacterial and mammalian cells were segmented using trained conv-nets and additional dow...
Harmful algal blooms (HABs) can have significant negative economic, environmental and health impacts...
IbPRIA 2019, Madrid, Spain, 1-4 July 2019Abstract. Diatoms are a major group of aquatic microalgae. ...
In the field of ecology, camera traps are important tools to collect information on the wildlife of ...
Effects of tiling method, training data set size and prediction threshold on the segmentation perfor...
International audienceImage segmentation is a field that has known huge breakthroughs this last deca...
Diatoms represent one of the morphologically and taxonomically most diverse groups of microscopic eu...
This archive contains the models and the results of the deep learning experiments published in Klost...
U-Net is the go-to approach for biomedical segmentation applications. However, it is not designed to...
Imaging sonar systems are widely used for monitoring fish behavior in turbid or low ambient light wa...
Neural networks are a large number of interconnected mathematical neural models. Neural networks are...
Measurements of morphometrical parameters on i.e., fish larvae are useful for assessing the quality ...
Determining the size and shape of coarse sediment is of paramount importance to many applications (e...
In the recent era of AI, instance segmentation has significantly advanced boundary and object detect...
This archive contains the slide scans used for the deep learning experiments published in Kloster et...
<p>Images of bacterial and mammalian cells were segmented using trained conv-nets and additional dow...
Harmful algal blooms (HABs) can have significant negative economic, environmental and health impacts...
IbPRIA 2019, Madrid, Spain, 1-4 July 2019Abstract. Diatoms are a major group of aquatic microalgae. ...
In the field of ecology, camera traps are important tools to collect information on the wildlife of ...
Effects of tiling method, training data set size and prediction threshold on the segmentation perfor...
International audienceImage segmentation is a field that has known huge breakthroughs this last deca...
Diatoms represent one of the morphologically and taxonomically most diverse groups of microscopic eu...