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RGSB-UNet: Hybrid Deep Learning Framework for Tumour Segmentation in Digital Pathology Images
Colorectal cancer (CRC) is a prevalent gastrointestinal tumour with high incidence and mortality rates. Early screening for CRC can improve cure rates and reduce mortality. Recently, deep convolution neural network (CNN)-based pathological image diagnosis has been intensively studied to meet the cha...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452008/ https://www.ncbi.nlm.nih.gov/pubmed/37627842 http://dx.doi.org/10.3390/bioengineering10080957 |