Results 21 to 30 of about 693,698 (310)
Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI. [PDF]
BMC Med Imaging, 2023 Background The purpose of this study is to investigate the use of radiomics and deep features obtained from multiparametric magnetic resonance imaging (mpMRI) for grading prostate cancer.
Khanfari H +6 more
europepmc +2 more sources
End-to-End Correlation Tracking With Enhanced Multi-Level Feature Fusion
IEEE Access, 2021 Discriminative correlation filters (DCF) have drawn increasing interest in visual tracking. In particular, a few recent works treat DCF as a special layer and add it into a Siamese network for visual tracking. However, most of them adopt shallow networks
Guangen Liu, Guizhong Liu
doaj +1 more source
Deep structured features for semantic segmentation [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 We propose a highly structured neural network architecture for semantic segmentation with an extremely small model size, suitable for low-power embedded and mobile platforms. Specifically, our architecture combines i) a Haar wavelet-based tree-like convolutional neural network (CNN), ii) a random layer realizing a radial basis function kernel ...
Michael Tschannen +4 more
openaire +2 more sources
Classification of Lung Sounds With CNN Model Using Parallel Pooling Structure
IEEE Access, 2020 The recognition of various lung sounds recorded using electronic stethoscopes plays a significant role in the early diagnoses of respiratory diseases.
Fatih Demir +2 more
doaj +1 more source
AgriEngineering, 2021 Fungal infection is a pre-harvest and post-harvest crisis for farmers of peanuts. In environments with temperatures around 28 °C to 30 °C or relative humidity of approximately 90%, mold-contaminated peanuts have a considerable likelihood to be infected ...
Edwin Manhando, Yang Zhou, Fenglin Wang
doaj +1 more source
Remote Sensing, 2021 Hyperspectral image classification is essential for satellite Internet of Things (IoT) to build a large scale land-cover surveillance system. After acquiring real-time land-cover information, the edge of the network transmits all the hyperspectral images
Ning Lv +6 more
doaj +1 more source
Integrating deep features for material recognition [PDF]
2016 23rd International Conference on Pattern Recognition (ICPR), 2016 We propose a method for integration of features extracted using deep representations of Convolutional Neural Networks (CNNs) each of which is learned using a different image dataset of objects and materials for material recognition. Given a set of representations of multiple pre-trained CNNs, we first compute activations of features using the ...
Yan Zhang 0055 +3 more
openaire +2 more sources
A New Deep CNN Model for Environmental Sound Classification
IEEE Access, 2020 Cognitive prediction in the complicated and active environments is of great importance role in artificial learning. Classification accuracy of sound events has a robust relation with the feature extraction.
Fatih Demir +2 more
doaj +1 more source
Diagnostics, 2021 Manual diagnosis of skin cancer is time-consuming and expensive; therefore, it is essential to develop automated diagnostics methods with the ability to classify multiclass skin lesions with greater accuracy.
Muhammad Attique Khan +4 more
doaj +1 more source
Representative EEG-based emotion recognition studies using deep features.
, 2022 Representative EEG-based emotion recognition studies using deep features.
Dong-Uk Hwang (14100814) +6 more
core +1 more source