Inicio  /  Applied Sciences  /  Vol: 10 Par: 21 (2020)  /  Artículo
ARTÍCULO
TITULO

Virtual UV Fluorescence Microscopy from Hematoxylin and Eosin Staining of Liver Images Using Deep Learning Convolutional Neural Network

Dorota Oszutowska-Mazurek    
Miroslaw Parafiniuk and Przemyslaw Mazurek    

Resumen

The proposed solution allows for the digital conversion of the image of a hematoxylin?eosin-stained slide, using a convolutional neural network, to an image resembling a fluorescent image obtained with a UV microscope.

 Artículos similares

       
 
Ivan Volaric and Victor Sucic    
One of the frequently used classes of sparse reconstruction algorithms is based on the iterative shrinkage/thresholding procedure, in which the thresholding parameter controls a trade-off between the algorithm?s accuracy and execution time. In order to a... ver más
Revista: Information

 
Li Wang, Xiaosong Yang and Jianjun Zhang    
For video style transfer, naively applying still image techniques to process a video frame-by-frame independently often causes flickering artefacts. Some works adopt optical flow into the design of temporal constraint loss to secure temporal consistency.... ver más
Revista: Applied Sciences

 
Zhiyong Yang, Feng Xiong, Yaoyao Pei, Zhi Chen, Chuanhai Zhan, Enjie Hu and Guanghao Zhang    
The identification of stay cable icing is crucial for robot deicing to improve efficiency and prevent damage to stay cables. Therefore, it is significant to identify the areas and degree of icing in the images of stay cables. This study proposed a two-st... ver más
Revista: Applied Sciences

 
Fengxu Wang, Wenfu Xu, Lei Yan, Chengqing Xie and Weihua Pu    
Accurately estimating the pose of spacecraft is indispensable for space applications. However, such targets are generally non-cooperative, i.e., no markers are mounted on them, and they include no parts for operation. Therefore, the detection and measure... ver más
Revista: Aerospace

 
Jier Xi and Xiufen Ye    
There are many challenges in using side-scan sonar (SSS) images to detect objects. The challenge of object detection and recognition in sonar data is greater than in optical images due to the sparsity of detectable targets. The complexity of real-world u... ver más