A Custom Deep Learning Architecture with Image Augmentation for Intelligent Gastrointestinal Tract Tissue Classification
The origin of sampled tissue and characteristics of healthy organs is important for potential abnormality detection in veterinary medicine. Most often such information is given during the sampling process, but in some cases there is a possibility of mislabeling, especially in the education sector wh...
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| Main Authors: | Wieczorek Michał, Wojtas Natalia, Wituła Roman, Krawczyk Aleksandra, Rycerz Karol |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-09-01
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| Series: | International Journal of Applied Mathematics and Computer Science |
| Subjects: | |
| Online Access: | https://doi.org/10.61822/amcs-2024-0040 |
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