174   Artículos

 
en línea
Yiheng Zhou, Kainan Ma, Qian Sun, Zhaoyuxuan Wang and Ming Liu    
Over the past several decades, deep neural networks have been extensively applied to medical image segmentation tasks, achieving significant success. However, the effectiveness of traditional deep segmentation networks is substantially limited by the sma... ver más
Revista: Information    Formato: Electrónico

 
en línea
Darian M. Onchis, Flavia Costi, Codruta Istin, Ciprian Cosmin Secasan and Gabriel V. Cozma    
(1) Background: Lung cancers are the most common cancers worldwide, and prostate cancers are among the second in terms of the frequency of cancers diagnosed in men. Automatic ranking of the risk groups of such diseases is highly in demand, but the clinic... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yue Zha, Yuanzhi Ke, Xiao Hu and Caiquan Xiong    
Named entity recognition (NER) is particularly challenging for medical texts due to the high domain specificity, abundance of technical terms, and sparsity of data in this field. In this work, we propose a novel attention layer, called the ?ontology atte... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Antonello Pasini and Stefano Amendola    
Neural network models are often used to analyse non-linear systems; here, in cases of small datasets, we review our complementary approach to deep learning with the purpose of highlighting the importance and roles (linear, non-linear or threshold) of cer... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Shoffan Saifullah and Rafal Drezewski    
Accurate medical image segmentation is paramount for precise diagnosis and treatment in modern healthcare. This research presents a comprehensive study of the efficacy of particle swarm optimization (PSO) combined with histogram equalization (HE) preproc... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ioana-Raluca Zaman and Stefan Trausan-Matu    
Neuropsychiatric disorders affect the lives of individuals from cognitive, emotional, and behavioral aspects, impact the quality of their lives, and even lead to death. Outside the medical area, these diseases have also started to be the subject of inves... ver más
Revista: Information    Formato: Electrónico

 
en línea
Weiming Fan, Jiahui Yu and Zhaojie Ju    
Endoscopy, a pervasive instrument for the diagnosis and treatment of hollow anatomical structures, conventionally necessitates the arduous manual scrutiny of seasoned medical experts. Nevertheless, the recent strides in deep learning technologies proffer... ver más
Revista: Information    Formato: Electrónico

 
en línea
Pedro Celard, Adrián Seara Vieira, José Manuel Sorribes-Fdez, Eva Lorenzo Iglesias and Lourdes Borrajo    
In this study, we propose a novel Temporal Development Generative Adversarial Network (TD-GAN) for the generation and analysis of videos, with a particular focus on biological and medical applications. Inspired by Progressive Growing GAN (PG-GAN) and Tem... ver más
Revista: Information    Formato: Electrónico

 
en línea
Abdul Rahaman Wahab Sait and Ali Mohammad Alorsan Bani Awad    
Coronary artery disease (CAD) is the most prevalent form of cardiovascular disease that may result in myocardial infarction. Annually, it leads to millions of fatalities and causes billions of dollars in global economic losses. Limited resources and comp... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Navid Khalili Dizaji and Mustafa Dogan    
Brain tumors are one of the deadliest types of cancer. Rapid and accurate identification of brain tumors, followed by appropriate surgical intervention or chemotherapy, increases the probability of survival. Accurate determination of brain tumors in MRI ... ver más
Revista: Algorithms    Formato: Electrónico

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