Results 61 to 70 of about 1,916,086 (289)
, 2019 In recent years, histopathology images have been increasingly used as a diagnostic tool in the medical field. The process of accurately diagnosing a biopsy sample requires significant expertise in the field, and as such can be time-consuming and is prone
AC Ruifrok +7 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background The management of clinically apparent single lesions or oligofocal nephroblastomatosis, a facultative precursor of nephroblastoma, remains debated. Methods We retrospectively analyzed 37 patients with clinically apparent single or oligofocal nephroblastomatosis (two to three lesions per kidney) among 2347 patients registered between
Nils Welter +17 more
wiley +1 more source
Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images
, 2018 In this paper, we design and evaluate a convolutional autoencoder that perturbs an input face image to impart privacy to a subject. Specifically, the proposed autoencoder transforms an input face image such that the transformed image can be successfully ...
Mirjalili, Vahid +3 more
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Germline TP53 Mutations Causing Diamond–Blackfan Anemia: A French Report
Pediatric Blood &Cancer, EarlyView.ABSTRACT Diamond–Blackfan anemia is a rare congenital erythroblastopenia typically caused by mutations in ribosomal protein genes. Recently, gain‐of‐function mutations in TP53 have been identified as a novel cause of Diamond–Blackfan anemia. We report two French patients who both harbored a heterozygous TP53 deletion (NM_000546.5: c.1077delA; p ...
Rafael Moisan +6 more
wiley +1 more source
Robust and sparse canonical correlation analysis based L(2,p)-norm
The Journal of Engineering, 2017 The objective function of canonical correlation analysis (CCA) is equivalent to minimising an L(2)-norm distance of the paired data. Owing to the characteristic of L(2)-norm, CCA is highly sensitive to noise and irrelevant features.
Zhong-rong Shi +3 more
doaj +1 more source
FaceQnet: Quality Assessment for Face Recognition based on Deep Learning
, 2019 In this paper we develop a Quality Assessment approach for face recognition based on deep learning. The method consists of a Convolutional Neural Network, FaceQnet, that is used to predict the suitability of a specific input image for face recognition ...
Beslay, Laurent +4 more
core +1 more source
Exploring Brain Dynamics via EEG and Steady-State Activation Map Networks in Music Composition
Brain SciencesIn recent years, the integration of brain–computer interface technology and neural networks in the field of music generation has garnered widespread attention.
Xiaohu Gu +4 more
doaj +1 more source
A Based Bayesian Wavelet Thresholding Method to Enhance Nuclear Imaging
International Journal of Biomedical Imaging, 2009 Nuclear images are very often used to study the functionality of some organs. Unfortunately, these images have bad contrast, a weak resolution, and present fluctuations due to the radioactivity disintegration. To enhance their quality, physicians have to
Nawrès Khlifa +3 more
doaj +1 more source
CURE-OR: Challenging Unreal and Real Environments for Object Recognition
, 2018 In this paper, we introduce a large-scale, controlled, and multi-platform object recognition dataset denoted as Challenging Unreal and Real Environments for Object Recognition (CURE-OR).
AlRegib, Ghassan +2 more
core +1 more source
Image processing and recognition for biological images [PDF]
Development, Growth & Differentiation, 2013 This paper reviews image processing and pattern recognition techniques, which will be useful to analyze bioimages. Although this paper does not provide their technical details, it will be possible to grasp their main tasks and typical tools to handle the tasks.
openaire +2 more sources