Results 11 to 20 of about 14,271,610 (145)

A Breast Cancer Image Classification Algorithm with 2c Multiclass Support Vector Machine. [PDF]

J Healthc Eng, 2023
Breast cancer is the most frequent type of cancer in women; however, early identification has reduced the mortality rate associated with the condition. Studies have demonstrated that the earlier this sickness is detected by mammography, the lower the death rate.
Wajeed MA, Tiwari S, Gupta R, Ahmad AJ, Agarwal S, Jamal SS, Hinga SK.   +6 more
europepmc   +2 more sources

EMA‐GAN: A Generative Adversarial Network for Infrared and Visible Image Fusion with Multiscale Attention Network and Expectation Maximization Algorithm

Advanced Intelligent Systems, Volume 5, Issue 11, November 2023., 2023
Expectation‐maximization algorithm generative adversarial network (EMA‐GAN) is proposed to fuse images from different modalities. This is an EM learning framework based on GAN that maximizes the likelihood of fused results and estimates potential variables.
Xiuliang Xi, Xin Jin, Qian Jiang, Yu Lin, Wei Zhou, Lei Guo   +5 more
wiley   +1 more source

Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey

CAAI Transactions on Intelligence Technology, Volume 8, Issue 3, Page 581-606, September 2023., 2023
Abstract Deep Learning (DL) is a subfield of machine learning that significantly impacts extracting new knowledge. By using DL, the extraction of advanced data representations and knowledge can be made possible. Highly effective DL techniques help to find more hidden knowledge.
Mehdi Gheisari, Fereshteh Ebrahimzadeh, Mohamadtaghi Rahimi, Mahdieh Moazzamigodarzi, Yang Liu, Pijush Kanti Dutta Pramanik, Mohammad Ali Heravi, Abolfazl Mehbodniya, Mustafa Ghaderzadeh, Mohammad Reza Feylizadeh, Saeed Kosari   +10 more
wiley   +1 more source

River boundary detection and autonomous cruise for unmanned surface vehicles

IET Image Processing, Volume 17, Issue 11, Page 3196-3215, 18 September 2023., 2023
The detection of river boundaries is important for judging the drivable area of USVs, and it can also be utilized to ensure driving safety by limiting the effective drivable areas of the USVs in the river areas. This work proposes a real‐time detection method for river boundaries based on a LiDAR sensor to detect the boundaries of incompletely ...
Kai Zhang, Min Hu, Fuji Ren, Yanwei Bao, Piao Shi, Daoyang Yu   +5 more
wiley   +1 more source

Generalized quasi-regular representation and its applications for shearlet transforms

Filomat, 2021
The construction of continuous shearlet transform has been extended to higher dimensions. It was generalized to a group that is topologically isomorphic to a group of semidirect product of locally compact groups.
Z. Amiri, R. A. Kamyabi-Gol
semanticscholar   +1 more source

CEFusion: Multi‐Modal medical image fusion via cross encoder

IET Image Processing, Volume 16, Issue 12, Page 3177-3189, 16 October 2022., 2022
Abstract Most existing deep learning‐based multi‐modal medical image fusion (MMIF) methods utilize single‐branch feature extraction strategies to achieve good fusion performance. However, for MMIF tasks, it is thought that this structure cuts off the internal connections between source images, resulting in information redundancy and degradation of ...
Ya Zhu, Xue Wang, Luping Chen, Rencan Nie   +3 more
wiley   +1 more source

An integrated learning and approximation scheme for coding of static or dynamic light fields based on hybrid Tucker–Karhunen–Loève transform‐singular value decomposition via tensor double sketching

IET Signal Processing, Volume 16, Issue 6, Page 680-694, August 2022., 2022
Abstract This study presents a scheme for efficient representation, coding and streaming of static or dynamic light fields using the authors’ novel hybrid Tucker‐TensorSketch Karhunen–Loève transform‐singular value decomposition via double sketching (HTTS‐KLTSVD‐DS) algorithm.
Joshitha Ravishankar, Mansi Sharma
wiley   +1 more source

Salt and pepper noise removal method based on stationary Framelet transform with non‐convex sparsity regularization

IET Image Processing, Volume 16, Issue 7, Page 1846-1865, 29 May 2022., 2022
Abstract Salt and pepper noise occurs randomly and causes image degradation. Numerous denoising methods have been proposed to suppress this noise. However, existing methods have two main limitations. First, noise characteristics, such as noise location information and sparsity, are often described inaccurately or even ignored.
Yingpin Chen, Yuming Huang, Lingzhi Wang, Huiying Huang, Jianhua Song, Chaoqun Yu, Yanping Xu   +6 more
wiley   +1 more source

Angular‐spatial analysis of factors affecting the performance of light field reconstruction

IET Image Processing, Volume 16, Issue 4, Page 1027-1035, March 2022., 2022
Abstract As a new VR multimedia format, Light Field (LF) has received more and more attention. LF can support users to move freely within a certain range during the experience. However, the limitation of LF acquisition technology has become the main obstacle to its large‐scale application.
Xinjue Hu, Lin Zhang
wiley   +1 more source

A multi‐focus image fusion method based on multi‐source joint layering and convolutional sparse representation

IET Image Processing, Volume 16, Issue 1, Page 216-228, January 2022., 2022
Abstract In this paper, a new Multi‐Focus Image Fusion (MFIF) method based on multi‐source joint layering and Convolutional Sparse Representation (CSR) is proposed. Based on the characteristics of multi‐focus source images, a multi‐source joint layering regularization model was designed to divide the sources into a common base‐layer and respective ...
Yanxiang Hu, Zhijie Chen, Bo Zhang, Lifeng Ma, Jiaqi Li   +4 more
wiley   +1 more source