Cargando…
Automated classification of urine biomarkers to diagnose pancreatic cancer using 1-D convolutional neural networks
BACKGROUND: Early diagnosis of Pancreatic Ductal Adenocarcinoma (PDAC) is the main key to surviving cancer patients. Urine proteomic biomarkers which are creatinine, LYVE1, REG1B, and TFF1 present a promising non-invasive and inexpensive diagnostic method of the PDAC. Recent utilization of both micr...
Autores principales: | Karar, Mohamed Esmail, El-Fishawy, Nawal, Radad, Marwa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10111836/ https://www.ncbi.nlm.nih.gov/pubmed/37069681 http://dx.doi.org/10.1186/s13036-023-00340-0 |
Ejemplares similares
-
RN-Autoencoder: Reduced Noise Autoencoder for classifying imbalanced cancer genomic data
por: Arafa, Ahmed, et al.
Publicado: (2023) -
Automated classification of bacterial cell sub-populations with convolutional neural networks
por: Tamiev, Denis, et al.
Publicado: (2020) -
Convolution- and Attention-Based Neural Network for Automated Sleep Stage Classification
por: Zhu, Tianqi, et al.
Publicado: (2020) -
Automated Truck Taxonomy Classification Using Deep Convolutional Neural Networks
por: Almutairi, Abdullah, et al.
Publicado: (2022) -
Towards Automated Optimization of Residual Convolutional Neural Networks for Electrocardiogram Classification
por: Fki, Zeineb, et al.
Publicado: (2023)