APESTNet with Mask R-CNN for Liver Tumor Segmentation and Classification

SIMPLE SUMMARY: The classification is performed later by an interactively learning Swin Transformer block, the core unit for feature representation and long-range semantic information. In particular, the proposed strategy improved significantly and was very resilient while dealing with small liver p...

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Detalles Bibliográficos
Autores principales: Balasubramanian, Prabhu Kavin, Lai, Wen-Cheng, Seng, Gan Hong, C, Kavitha, Selvaraj, Jeeva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857237/
https://www.ncbi.nlm.nih.gov/pubmed/36672281
http://dx.doi.org/10.3390/cancers15020330

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857237/
https://www.ncbi.nlm.nih.gov/pubmed/36672281
http://dx.doi.org/10.3390/cancers15020330

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