Results 41 to 50 of about 167,467 (260)

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

Application of Decision Tree Algorithm for Edible Mushroom Classification

Journal of Applied Informatics and Computing, 2022
The purpose of this research is to classify the mushroom based on its characteristic to be in an edible class or poisonous one using the Decision Tree Algorithm.
Afika Rianti, Taufik Ridwan, Suprih Widodo, Rian Andrian   +3 more
doaj   +1 more source

Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati, Sami I. Nassar, Shaun A. Nguyen, Patricia L. Gerend, Michael C. Schubert, Michael T. Teixido, Frederick A. Godley, Joel A. Goebel, Cynthia A. Ryan, Habib G. Rizk, Amir Kheradmand   +10 more
wiley   +1 more source

Evaluation of Modified FGSM-Based Data Augmentation Method for Convolutional Neural Network-Based Image Classification

Engineering Proceedings
Computer vision applications demand a significant amount of data for effective training and inference in many computer vision tasks. However, data insufficiency situations usually happen due to multiple reasons, resulting in computational models whose ...
Paulo Monteiro de Carvalho Monson, Vinicius Augusto Dare de Almeida, Gabriel Augusto David, Pedro Oliveira Conceição Junior, Fabio Romano Lofrano Dotto   +4 more
doaj   +1 more source

Implications of Pooling Strategies in Convolutional Neural Networks: A Deep Insight

Foundations of Computing and Decision Sciences, 2019
Convolutional neural networks (CNN) is a contemporary technique for computer vision applications, where pooling implies as an integral part of the deep CNN.
Sharma Shallu, Mehra Rajesh
doaj   +1 more source

Improvement of Generalization Ability of Deep CNN via Implicit Regularization in Two-Stage Training Process

IEEE Access, 2018
Optimization of deep learning is no longer an imminent problem, due to various gradient descent methods and the improvements of network structure, including activation functions, the connectivity style, and so on.
Qinghe Zheng, Mingqiang Yang, Jiajie Yang, Qingrui Zhang, Xinxin Zhang   +4 more
doaj   +1 more source

Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini, Alessia Casarini, Niccolò Biagioli, Laura Mirandola, Daniela Ballotta, Paul Summers, Simona Scolastico, Laura Madrassi, Maurilio Genovese, Marcella Malagoli, Gaetano Cantalupo, Giada Giovannini, Matteo Pugnaghi, Niccolò Orlandi, Laura Tassi, Valeria Cuccarini, Domenico Aquino, Elena Tartara, Fulvia Palesi, Giuseppe Didato, Paolo Vitali, the 3TLE Study Group, Roberta Di Giacomo, Fabio Doniselli, Federica Mazzi, Carlo Andrea Galimberti, Claudia A. M. Gandini Wheeler‐Kingshott, Stefano Meletti, Anna Elisabetta Vaudano   +28 more
wiley   +1 more source

Mushroom Classification Using Convolutional Neural Network MobileNetV2 Architecture for Overfitting Mitigation and Enhanced Model Generalization

Journal of Applied Informatics and Computing
Fungal identification is a significant challenge due to the morphological similarities among different species. Previous studies using Convolutional Neural Networks (CNNs) for mushroom classification still face overfitting issues, which lead to poor ...
Fauzan Arif Prayogi, Fariz Hasim Arvianto, Dimas Rizki Pratama, Sugiyanto Sugiyanto   +3 more
doaj   +1 more source

ENphylo: A new method to model the distribution of extremely rare species

Methods in Ecology and Evolution, 2023
Species distribution models (SDMs) are a useful mean to understand how environmental variation influences species geographical distribution. SDMs are implemented by several different algorithms.
Alessandro Mondanaro, Mirko Di Febbraro, Silvia Castiglione, Marina Melchionna, Carmela Serio, Giorgia Girardi, Arianna Morena Belfiore, Pasquale Raia   +7 more
doaj   +1 more source

Local Augment: Utilizing Local Bias Property of Convolutional Neural Networks for Data Augmentation

IEEE Access, 2021
Data augmentation is an effective way to increase the diversity of existing training datasets that result in improved generalization ability of convolutional neural networks (CNNs). The augmentation effect is usually global for the existing methods i.e.,
Youmin Kim, A. F. M. Shahab Uddin, Sung-Ho Bae   +2 more
doaj   +1 more source