Clasificarea imaginilor histopatologice utilizând Deep Learning
In this paper we present an original application dealing with the classification of histopathological images using Deep Learning. We first describe, briefly, the field of digital histopathology. We then present the use of various convolutional neural architectures for tissue classification based o...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
ICI Publishing House
2020-03-01
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| Series: | Revista Română de Informatică și Automatică |
| Subjects: | |
| Online Access: | https://rria.ici.ro/wp-content/uploads/2020/03/art._Badea_Stanescu.pdf |
| Summary: | In this paper we present an original application dealing with the classification of histopathological
images using Deep Learning. We first describe, briefly, the field of digital histopathology. We then present
the use of various convolutional neural architectures for tissue classification based on WSI histopathological
images from the GTEx dataset, obtaining classification accuracies around 93-94%. |
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| ISSN: | 1220-1758 1841-4303 |