Prognostic value of plasma microRNAs for non-small cell lung cancer based on data mining models
M Yan, W Kang, X Liu, B Yang, N Sun, Y Yang… - BMC cancer, 2024 - Springer
Abstract Background As biomarkers, microRNAs (miRNAs) are closely associated with the
occurrence, progression, and prognosis of non-small cell lung cancer (NSCLC). However …
occurrence, progression, and prognosis of non-small cell lung cancer (NSCLC). However …
[PDF][PDF] Addressing Overfitting in Dermatological Image Analysis with Bayesian Convolutional Neural Network
MI Zulfa, AS Aryanto, B Abelian… - Jurnal Ilmiah Teknik Elektro …, 2024 - eprints.uad.ac.id
VGG, ResNet, and DenseNet are popular convolutional neural network (CNN) designs for
transfer learning (TL), aiding dermatological image processing, particularly in skin cancer …
transfer learning (TL), aiding dermatological image processing, particularly in skin cancer …
Dynamic Treatment Strategies: The RL-CNN Model in Personalized Medicine
A Kaur, V Kukreja, A Aneja - 2024 2nd International Conference …, 2024 - ieeexplore.ieee.org
Personalized medicine offers the potential to revolutionize healthcare by customizing
treatments to individual patient characteristics. This study proposes a novel Reinforcement …
treatments to individual patient characteristics. This study proposes a novel Reinforcement …
Advances in Thermal Imaging: A Convolutional Neural Network Approach for Improved Breast Cancer Diagnosis
This study explores the application of thermal imaging in breast cancer diagnostics,
presenting a novel methodology that integrates pre-processing techniques and …
presenting a novel methodology that integrates pre-processing techniques and …
Deep Belief Network Based Intrusion Detection in Vehicle Ad Hoc Network
HM Al-Jawahry, MB BG, T Veena… - 2024 International …, 2024 - ieeexplore.ieee.org
Vehicular Ad Hoc Networks (VANET) have garnered a great deal of attention and
development in recent years. These networks are essential to the development of fully and …
development in recent years. These networks are essential to the development of fully and …
Cuantificación de la incertidumbre en la clasificación de imágenes y evaluación del impacto de las redes neuronales bayesianas en la clasificación de pacientes con …
JM Liscano Fierro - 2024 - repositorio.escuelaing.edu.co
Este proyecto de investigación tiene como objetivo comparar la eficiencia de las redes
neuronales bayesianas frente a las deterministas en la clasificación de la neumonía por …
neuronales bayesianas frente a las deterministas en la clasificación de la neumonía por …