Results 41 to 50 of about 13,553 (263)

A novel image augmentation based on statistical shape and intensity models: application to the segmentation of hip bones from CT images

open access: yesEuropean Radiology Experimental, 2023
Background The collection and annotation of medical images are hindered by data scarcity, privacy, and ethical reasons or limited resources, negatively affecting deep learning approaches.
Jérôme Schmid   +2 more
doaj   +1 more source

Deep‐Learning‐Driven High‐Fidelity In Vivo Hyperspectral Fluorescence Imaging Under Extreme Photon‐Limited Conditions

open access: yesAdvanced Science, EarlyView.
Highly overlapping fluorescent signals become distinguishable in photon‐limited living organisms via advanced imaging with intelligent reconstruction. The resulting in vivo hyperspectral imaging capability reveals nanoplastic uptake and circulation in live zebrafish, providing a new approach for studying complex biological and environmental processes ...
Renjian Li   +11 more
wiley   +1 more source

INDEX QUALITY ASSESMENT CITRA TERINTERPOLASI (SSIM dan FSIM)

open access: yesJUTEI (Jurnal Terapan Teknologi Informasi), 2017
Ada sejumlah aplikasi dalam pengenalan pola yang membutuhkan citra dengan ukuran tertentu. Ukuran citra menentukan hasil dari pengenalan pola suatu sistem. Suatu metode interpolasi digunakan untuk menyesuaikan ukuran suatu citra.
Meirista Wulandari
doaj   +1 more source

Similarity Algorithm of Spatio-temporal Data Based on Trend Surface and SSIM [PDF]

open access: yesJisuanji gongcheng, 2018
Aiming at the problem of spatio-temporal data similarity evaluation with fixed spatial position and trend of attribute value trend,based on the Biharmonic spline to establish the trend surface,a new spatio-temporal data similarity algorithm is proposed ...
LI Jianxun,TONG Rui,ZHANG Yongjin,TANG Zihao
doaj   +1 more source

GAN-TL: Generative Adversarial Networks with Transfer Learning for MRI Reconstruction

open access: yesApplied Sciences, 2022
Generative adversarial networks (GAN), which are fueled by deep learning, are an efficient technique for image reconstruction using under-sampled MR data.
Muhammad Yaqub   +6 more
doaj   +1 more source

SSIM Technique for Comparison of Images

open access: yesInternational Journal of Innovative Research in Science, Engineering and Technology, 2014
Now days there are different methods are present for evaluation of features of images, but there is no common effort developed for the comparison of the quality of image. We, in this paper are interested in quality evaluation of images so we are capturing the images from different cameras.
Anil Wadhokar   +3 more
openaire   +1 more source

Video quality assessment method: MD-SSIM [PDF]

open access: yes2015 IEEE International Conference on Consumer Electronics - Taiwan, 2015
In this paper, video quality assessment (VQA) for compression losses is the main focus. A new method, MD-SSIM (Mean Squared Error Difference SSIM) is used for detecting the spatial distortion. For the temporal part, the differences of the SSIM scores of each frame are used to form the quality scores.
Woei-Tan Loh, David B. L. Bong
openaire   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

Mystery behind similarity measures mse and SSIM [PDF]

open access: yes2014 IEEE International Conference on Image Processing (ICIP), 2014
Similarity or distance measures play an important role in various pattern recognition applications such as classification, clustering, change detection, information retrieval, energy minimization and optimization problems. We shall analyze theoretically the two most popular quality measures MSE and SSIM used in image processing by showing their origin,
openaire   +1 more source

Ultra‐Low Power Consumption and Highly Durability in Sm:HfO2 Thin Film Ferroelectric Memristor for Edge Detection

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li   +4 more
wiley   +1 more source

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