Machine Learning Based on Morphological Features Enables Classification of Primary Intestinal T-Cell Lymphomas
The aim of this study was to investigate the feasibility of using machine learning techniques based on morphological features in classifying two subtypes of primary intestinal T-cell lymphomas (PITLs) defined according to the WHO criteria: monomorphic epitheliotropic intestinal T-cell lymphoma (MEIT...
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| Main Authors: | , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
MDPI AG
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/d780586919ad4d8ca7742f4a7cb443e0 |
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