[HTML][HTML] Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
In recent years, machine learning (ML) and deep learning (DL) have been the leading
approaches to solving various challenges, such as disease predictions, drug discovery …
approaches to solving various challenges, such as disease predictions, drug discovery …
Computer image analysis with artificial intelligence: a practical introduction to convolutional neural networks for medical professionals
Artificial intelligence tools, particularly convolutional neural networks (CNNs), are
transforming healthcare by enhancing predictive, diagnostic, and decision-making …
transforming healthcare by enhancing predictive, diagnostic, and decision-making …
[HTML][HTML] An integrated convolutional neural network and sorting algorithm for image classification for efficient flood disaster management
Drones are used for post-flood disaster management and delivering relief goods to flood-
affected areas. Autonomous drones are an alternative means of prioritizing assistance due …
affected areas. Autonomous drones are an alternative means of prioritizing assistance due …
Spatial attention-based residual network for human burn identification and classification
Diagnosing burns in humans has become critical, as early identification can save lives. The
manual process of burn diagnosis is time-consuming and complex, even for experienced …
manual process of burn diagnosis is time-consuming and complex, even for experienced …
Brain-gcn-net: Graph-convolutional neural network for brain tumor identification
Background: The intersection of artificial intelligence and medical image analysis has
ushered in a new era of innovation and changed the landscape of brain tumor detection and …
ushered in a new era of innovation and changed the landscape of brain tumor detection and …
Risk predictions of surgical wound complications based on a machine learning algorithm: A systematic review
H Zhang, J Zhao, R Farzan… - International Wound …, 2024 - Wiley Online Library
Surgical wounds may arise due to harm inflicted upon soft tissue during surgical
intervention, and many complications and injuries may accompany them. These …
intervention, and many complications and injuries may accompany them. These …
Understanding of convolutional neural network (cnn): A review
In recent years, deep learning technology has been used in various sectors. Deep learning
has developed human-like abilities, such as knowledge learning, problem-solving, and …
has developed human-like abilities, such as knowledge learning, problem-solving, and …
Optimizing poultry audio signal classification with deep learning and burn layer fusion
This study introduces a novel deep learning-based approach for classifying poultry audio
signals, incorporating a custom Burn Layer to enhance model robustness. The methodology …
signals, incorporating a custom Burn Layer to enhance model robustness. The methodology …
A systematic review and future research agenda on detection of polycystic ovary syndrome (PCOS) with computer-aided techniques
Abstract Polycystic Ovary Syndrome (PCOS) is among the most prevalent endocrinological
abnormalities seen in reproductive female bodies posing serious health hazards. The …
abnormalities seen in reproductive female bodies posing serious health hazards. The …
On-site burn severity assessment using smartphone-captured color burn wound images
X Xu, Q Bu, J **e, H Li, F Xu, J Li - Computers in Biology and Medicine, 2024 - Elsevier
Accurate assessment of burn severity is crucial for the management of burn injuries.
Currently, clinicians mainly rely on visual inspection to assess burns, characterized by …
Currently, clinicians mainly rely on visual inspection to assess burns, characterized by …