Sfoglia per Soggetto "Image classification"
Items 1-17 di 17
-
Assessing image analysis filters as augmented input to convolutional neural networks for image classification
(2018)Convolutional Neural Networks (CNNs) have been proven very effective in image classification and object recognition tasks, often exceeding the performance of traditional image analysis techniques. However, training a CNN ... -
Automated detection of streaks in dermoscopy images
(2015)In this paper we present a novel algorithm for the detection of dark linear structures, which appear in digital dermoscopy images of skin lesions and they are called as streaks in relevant literature. The proposed algorithm ... -
Bone fracture identification in x-ray images using fuzzy wavelet features
(2019)The fracture detection process is difficult and requires specialized knowledge of the anatomical structures of the area under consideration. X-ray imaging provides images of the body's internal structures. Despite the rapid ... -
Classifying mammography images by using fuzzy cognitive maps and a new segmentation algorithm
(2018)Mammography is one of the best techniques for the early detection of breast cancer. In this chapter, a method based on fuzzy cognitive map (FCM) and its evolutionary-based learning capabilities is presented for classifying ... -
A Convolutional Neural Network-based explainable classification method of SPECT myocardial perfusion images in nuclear cardiology
(2022)This study targets on the development of an explainable Convolutional Neural Network (CNN) pipeline in the form of a handcrafted CNN to identify patients' coronary artery disease status (normal, ischemia or infarction). ... -
Convolutional neural networks for pose recognition in binary omni-directional images
(2016)In this work, we present a methodology for pose classification of silhouettes using convolutional neural networks. The training set consists exclusively from the synthetic images that are generated from three-dimensional ... -
Development of Convolutional Neural Networkbased models for bone metastasis classification in nuclear medicine
(2020)Focusing on prostate cancer patients, this research paper addresses the problem of bone metastasis diagnosis, investigating the capabilities of convolutional neural networks (CNN) and transfer learning. Considering the ... -
Enhancing classification accuracy utilizing globules and dots features in digital dermoscopy
(2015)The interest in image dermoscopy has been significantly increased recently and skin lesion images are nowadays routinely acquired for a number of skin disorders. An important finding in the assessment of a skin lesion ... -
Explainable Classification of Weakly Annotated Wireless Capsule Endoscopy Images Based on a Fuzzy Bag-of-Colour Features Model and Brain Storm Optimization
(2021)Wireless capsule endoscopy (WCE) constitutes a medical imaging technology developed for the endoscopic exploration of the gastrointestinal (GI) tract, whereas it provides a more comfortable examination method, in comparison ... -
Explainable Fuzzy Texture Words Model for Automatic Bone Fracture Identification
(2021)The examination and interpretation of X-ray images is a time-consuming process that requires manual examination of bones for a fracture diagnosis. In this study, we propose a novel feature extraction and classification ... -
Fuzzy Cognitive Maps for Interpretable Image-based Classification
(2022)Image classification is a fundamental component of intelligent vision systems. Developing classifiers capable of explaining how or why a classification result occurs, in a way compatible with human perception, remains a ... -
Fuzzy Pooling
(2021)Convolutional neural networks (CNNs) are artificial learning systems typically based on two operations: convolution, which implements feature extraction through filtering, and pooling, which implements dimensionality ... -
Image Processing and Classification Method Appropriate for Extensible Mobile Applications
(2019)The image processing technique described in this paper can be used for the classification of photographs that display an object of interest. Spots on the object having distinct color surrounded by a potential halo are ... -
An Image-Based Approach for Classification of Driving Behaviour Using CNNs
(2021)In this work we present an approach for the classification of driving behaviour using Convolutional Neural Networks (CNNs), based on measurements that have been obtained by the internal CAN-bus of the vehicle. As is the ... -
Improving the performance of convolutional neural network for skin image classification using the response of image analysis filters
(2019)In this work, we focus in the analysis of dermoscopy images using convolutional neural networks (CNNs). More specifically, we investigate the value of augmenting CNN inputs with the response of mid-level computer vision ... -
A Performance Evaluation of Distributed Deep Learning Frameworks on CPU Clusters Using Image Classification Workloads
(2021)Over the recent years, deep learning is widely being used in a variety of different fields and applications. The constant growth of data used to train complex models, has opened research in the distributed learning. In ... -
Towards the Interpretation of Convolutional Neural Networks for Image Classification Using Fuzzy Sets
(2022)Convolutional Neural Networks (CNNs) have demonstrated an outstanding performance on a range of image classification problems in various domains. However, their major drawback is that they are 'black box' and opaque ...