A survey on human cancer categorization based on deep learning
A Ibrahim, HK Mohamed, A Maher… - Frontiers in Artificial …, 2022 - frontiersin.org
In recent years, we have witnessed the fast growth of deep learning, which involves deep
neural networks, and the development of the computing capability of computer devices …
neural networks, and the development of the computing capability of computer devices …
Medical image denoising system based on stacked convolutional autoencoder for enhancing 2-dimensional gel electrophoresis noise reduction
AS Ahmed, WH El-Behaidy, AAA Youssif - Biomedical Signal Processing …, 2021 - Elsevier
Image denoising is the technique of removing noise or distortions from an image. During
medical image acquisition, random noise is added, which results in a lower contrast in those …
medical image acquisition, random noise is added, which results in a lower contrast in those …
Development of intuitionistic fuzzy special embedded convolutional neural network for mammography enhancement
S Kr Ghosh, B Biswas, A Ghosh - Computational Intelligence, 2021 - Wiley Online Library
This article proposes a novel mammogram enhancement approach using adaptive
intuitionistic fuzzy special set (IFSS) with deep convolutional neural network (called …
intuitionistic fuzzy special set (IFSS) with deep convolutional neural network (called …
Ultrasound breast images denoising using generative adversarial networks (GANs)
Y Jiménez-Gaona, MJ Rodríguez-Alvarez… - Intelligent Data … - content.iospress.com
13 INTRODUCTION: Ultrasound in conjunction with mammography imaging, plays a vital
role in the early detection and diag-14 nosis of breast cancer. However, speckle noise …
role in the early detection and diag-14 nosis of breast cancer. However, speckle noise …
Application of Artificial Intelligence to Ultrasonography
XE Santacruz-Yaah - Science Insights, 2022 - bonoi.org
The use of artificial intelligence (AI) technology in medicine has gained considerable
attention, although its application in ultrasound medicine is still in its infancy. Deep learning …
attention, although its application in ultrasound medicine is still in its infancy. Deep learning …
Digimammocad: a new deep learning-based cad system for mammogram breast cancer diagnosis with mass identification
S Bagchi - 2022 - eprints.uthm.edu.my
Worldwide Breast Cancer (BC) is the most severe cancer in women. There are no outward
symptoms at an early stage and the survival rate decreases with the increasing stage. So …
symptoms at an early stage and the survival rate decreases with the increasing stage. So …
FUSION OF BREAST IMAGES USING TEXTURAL INFORMATION AND OPTIMISED WAVELET TRANSFORMATION.
G VIJAYALAKSHMI… - Oxidation …, 2021 - search.ebscohost.com
Image restoration is one of the steps in the image processing applications to restore the
corrupted or noisy image into its original state. It plays an important role in all types of …
corrupted or noisy image into its original state. It plays an important role in all types of …