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Mostrando ítems 1-7 de 7
Artículo
Non-small cell lung cancer diagnosis aid with histopathological images using Explainable Deep Learning techniques
(Elsevier, 2022-11)
Background: Lung cancer has the highest mortality rate in the world, twice as high as the second highest. On the other hand, pathologists are overworked and this is detrimental to the time spent on each patient, diagnostic ...
Artículo
An Event-Based Digital Time Difference Encoder Model Implementation for Neuromorphic Systems
(IEEE Computer Society, 2022)
Neuromorphic systems are a viable alternative to conventional systems for real-time tasks with constrained resources. Their low power consumption, compact hardware realization, and low-latency response characteristics are ...
Artículo
A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends
(Elsevier, 2022-12)
Currently available reviews in the area of artificial intelligence-based music generation do not provide a wide range of publications and are usually centered around comparing very specific topics between a very limited ...
Artículo
A comparative study of the inter-observer variability on Gleason grading against Deep Learning-based approaches for prostate cancer
(Elsevier, 2023-06)
Background: Among all the cancers known today, prostate cancer is one of the most commonly diagnosed in men. With modern advances in medicine, its mortality has been considerably reduced. However, it is still a leading ...
Artículo
Wearable Health Devices for Diagnosis Support: Evolution and Future Tendencies
(MDPI, 2023-02-03)
The use of wearable devices has increased substantially in recent years. This, together with the rise of telemedicine, has led to the use of these types of devices in the healthcare field. In this work, we carried out a ...
Artículo
Worker’s physical fatigue classification using neural networks
(Elsevier, 2022-07-15)
Physical fatigue is not only an indication of the user’s physical condition and/or need for sleep or rest, but can also be a significant symptom of various diseases. This fatigue affects the performance of workers in jobs ...
Artículo
On the feature extraction process in machine learning. An experimental study about guided versus non-guided process in falling detection systems
(Elsevier, 2022)
Falls are current events that can lead to severe injuries and even accidental deaths among the population, especially the elderly. Since them usually live alone and their contact with other people has decreased since ...