Cargando…
Using Multi-Scale Convolutional Neural Network Based on Multi-Instance Learning to Predict the Efficacy of Neoadjuvant Chemoradiotherapy for Rectal Cancer
Background: At present, radical total mesorectal excision after neoadjuvant chemoradiotherapy is crucial for locally advanced rectal cancer. Therefore, the use of histopathological images analysis technology to predict the efficacy of neoadjuvant chemoradiotherapy for rectal cancer is of great signi...
Formato: | Online Artículo Texto |
---|---|
Lenguaje: | English |
Publicado: |
IEEE
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8932521/ https://www.ncbi.nlm.nih.gov/pubmed/35317416 http://dx.doi.org/10.1109/JTEHM.2022.3156851 |
Ejemplares similares
-
Instance segmentation convolutional neural network based on multi-scale attention mechanism
por: Gaihua, Wang, et al.
Publicado: (2022) -
Multi-instance learning of graph neural networks for aqueous pK(a) prediction
por: Xiong, Jiacheng, et al.
Publicado: (2021) -
Multi-Scale Feature Learning Convolutional Neural Network for Image Denoising
por: Zhang, Shuo, et al.
Publicado: (2023) -
Birdsong classification based on ensemble multi-scale convolutional neural network
por: Liu, Jiang, et al.
Publicado: (2022) -
An Immune-Related Gene Signature for Predicting Neoadjuvant Chemoradiotherapy Efficacy in Rectal Carcinoma
por: Qian, Liwen, et al.
Publicado: (2022)