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Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare
Background: The idea of smart healthcare has gradually gained attention as a result of the
information technology industry's rapid development. Smart healthcare uses next-generation …
information technology industry's rapid development. Smart healthcare uses next-generation …
Importance of features selection, attributes selection, challenges and future directions for medical imaging data: a review
In the area of pattern recognition and machine learning, features play a key role in
prediction. The famous applications of features are medical imaging, image classification …
prediction. The famous applications of features are medical imaging, image classification …
Human action recognition using fusion of multiview and deep features: an application to video surveillance
Abstract Human Action Recognition (HAR) has become one of the most active research area
in the domain of artificial intelligence, due to various applications such as video surveillance …
in the domain of artificial intelligence, due to various applications such as video surveillance …
Brain tumor detection and classification: A framework of marker‐based watershed algorithm and multilevel priority features selection
Brain tumor identification using magnetic resonance images (MRI) is an important research
domain in the field of medical imaging. Use of computerized techniques helps the doctors for …
domain in the field of medical imaging. Use of computerized techniques helps the doctors for …
Hand-crafted and deep convolutional neural network features fusion and selection strategy: an application to intelligent human action recognition
Human action recognition (HAR) has gained much attention in the last few years due to its
enormous applications including human activity monitoring, robotics, visual surveillance, to …
enormous applications including human activity monitoring, robotics, visual surveillance, to …
Computer-aided gastrointestinal diseases analysis from wireless capsule endoscopy: a framework of best features selection
The continuous improvements in the area of medical imaging, makes the patient monitoring
a crucial concern. The internet of things (IoT) embedded in a medical technologies to collect …
a crucial concern. The internet of things (IoT) embedded in a medical technologies to collect …
Pearson correlation-based feature selection for document classification using balanced training
Documents are stored in a digital form across several organizations. Printing this amount of
data and placing it into folders instead of storing digitally is against the practical, economical …
data and placing it into folders instead of storing digitally is against the practical, economical …
An in-depth evaluation of deep learning-enabled adaptive approaches for detecting obstacles using sensor-fused data in autonomous vehicles
This paper delivers an exhaustive analysis of the fusion of multi-sensor technologies,
including traditional sensors such as cameras, Light Detection and Ranging (LiDAR), Radio …
including traditional sensors such as cameras, Light Detection and Ranging (LiDAR), Radio …
Multi-model deep neural network based features extraction and optimal selection approach for skin lesion classification
Melanoma skin cancer is one of the most deadly forms of cancer which are responsible for
thousands of deaths. The manual process of melanoma diagnosis is a time taking and …
thousands of deaths. The manual process of melanoma diagnosis is a time taking and …
Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection
Automated skin lesion diagnosis from dermoscopic images is a difficult process due to
several notable problems such as artefacts (hairs), irregularity, lesion shape, and irrelevant …
several notable problems such as artefacts (hairs), irregularity, lesion shape, and irrelevant …