Deep learning for medical image registration: A comprehensive review
Image registration is a critical component in the applications of various medical image
analyses. In recent years, there has been a tremendous surge in the development of deep …
analyses. In recent years, there has been a tremendous surge in the development of deep …
Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images
Chest X-ray images are used in deep convolutional neural networks for the detection of
COVID-19, the greatest human challenge of the 21st century. Robustness to noise and …
COVID-19, the greatest human challenge of the 21st century. Robustness to noise and …
基于深度学习的图像去噪方法研究综述.
刘迪， 贾金露， 赵玉卿， 钱育蓉 - Journal of Computer …, 2021 - search.ebscohost.com
图像去噪是利用图像序列的上下文信息去除噪声, 从而恢复出清晰图像的一种技术,
是计算机视觉领域重要研究内容之一. 随着机器学习的发展, 深度学习在图像去噪领域得到广泛 …
是计算机视觉领域重要研究内容之一. 随着机器学习的发展, 深度学习在图像去噪领域得到广泛 …
Image quality enhancement using HybridGAN for automated railway track defect recognition
MY Cheng, RR Khasani, K Setiono - Automation in Construction, 2023 - Elsevier
Numerous researchers have explored the potential of artificial intelligence to improve the rail
inspection process, which required high quality in terms of resolution and clarity images …
inspection process, which required high quality in terms of resolution and clarity images …
Experimental evaluation of filters used for removing speckle noise and enhancing ultrasound image quality
In the modern-days diagnostics, ultrasound is considered a significant non-invasive imaging
technique. However, ultrasound images are frequently contaminated by multiplicative …
technique. However, ultrasound images are frequently contaminated by multiplicative …
An adaptive fuzzy inference approach for color image steganography
L Tang, D Wu, H Wang, M Chen, J Xie - Soft Computing, 2021 - Springer
This paper proposes an adaptive fuzzy inference approach for color image steganography,
taking into account the influence of image complexity such as pixel similarity, pixel …
taking into account the influence of image complexity such as pixel similarity, pixel …
Критерии оценки качества медицинских изображений, полученных на мультиспиральном компьютерном томографе
Н Маматов, П Султанов, М Жалелова… - … и компьютерных наук, 2023 - in-academy.uz
Оценка качества изображений, особенно медицинских изображений, полученных с
помощью мультиспирального компьютерного томографа чрезвычайно важна в области …
помощью мультиспирального компьютерного томографа чрезвычайно важна в области …
Blockchain-Assisted Homomorphic Encryption Approach for Skin Lesion Diagnosis using Optimal Deep Learning Model
K Rajeshkumar, C Ananth, N Mohananthini - Engineering, Technology & …, 2023 - etasr.com
Blockchain (BC) and Machine learning (ML) technologies have been investigated for
potential applications in medicine with reasonable success to date. On the other hand, as …
potential applications in medicine with reasonable success to date. On the other hand, as …
Penerapan computer vision menggunakan metode deep learning pada perspektif generasi ulul albab
I Arifin, RF Haidi, M Dzalhaqi - Jurnal Teknologi Terpadu, 2021 - jurnal.nurulfikri.ac.id
Machine learning merupakan salah satu penerapan kecerdasan buatan. Penggunaan
machine learning pada computer vision erat berkaitan dengan deep learning yang mana …
machine learning pada computer vision erat berkaitan dengan deep learning yang mana …
An Image Denoising Technique Using Wavelet-Anisotropic Gaussian Filter-Based Denoising Convolutional Neural Network for CT Images
Denoising computed tomography (CT) medical images is crucial in preserving information
and restoring images contaminated with noise. Standard filters have extensively been used …
and restoring images contaminated with noise. Standard filters have extensively been used …