Results 101 to 110 of about 18,640,676 (284)

Multi-focus Image Fusion Using an Effective Discrete Wavelet Transform Based Algorithm

Measurement Science Review, 2014
In this paper, by considering the main objective of multi-focus image fusion and the physical meaning of wavelet coefficients, a discrete wavelet transform (DWT) based fusion technique with a novel coefficients selection algorithm is presented. After the
Yang Yong, Huang Shuying, Gao Junfeng, Qian Zhongsheng   +3 more
doaj   +1 more source

Construction of All-in-Focus Images Assisted by Depth Sensing

Sensors, 2019
Multi-focus image fusion is a technique for obtaining an all-in-focus image in which all objects are in focus to extend the limited depth of field (DoF) of an imaging system.
Hang Liu, Hengyu Li, Jun Luo, Shaorong Xie, Yu Sun   +4 more
doaj   +1 more source

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

Molecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park, Kyongman An, Gyeonghwa Kim, Soo‐Nyun Choi, Hong‐Ki Lee, Keun Hur, Kyu‐Shik Jeong   +6 more
wiley   +1 more source

Fractal Dimension-Based Multi-Focus Image Fusion via AGPCNN and Consistency Verification in NSCT Domain

Fractal and Fractional
Multi-focus images are essential in various computer vision applications. To mitigate artifacts and information loss in multi-focus image fusion, we propose a novel algorithm based on AGPCNN and fractal dimension in the NSCT domain. The source images are
Ming Lv, Zhenhong Jia, Liangliang Li, Hongbing Ma   +3 more
doaj   +1 more source

Epigenetic silencing of the liver‐specific lncRNA LUNAR promotes liver cancer progression via NOTCH activation

Molecular Oncology, EarlyView.
LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang, Hyung Seok Kim, Geum Ok Baek, Moon Gyeong Yoon, Su In Lee, Jee‐Yeong Jeong, Ji Eun Han, Soon Sun Kim, Jae Youn Cheong, Jung Woo Eun   +9 more
wiley   +1 more source

Multi-focus image fusing based on non-negative matrix factorization [PDF]

, 2007
Multi focus image fusion is a process of obtaining a new all in focus merged image from two or more partially defocused images of the same scene and same imaging condition. The merged image includes the information of the original images and improves the
Zhong Chen, Cong-bo Cai, Dong, J. Y., Chen, Z., Cai, C. B., Le Xu, 陈忠, Ji-yang Dong, Xu, L.   +8 more
core   +1 more source

Fractal Dimension-Based Multi-Focus Image Fusion via Coupled Neural P Systems in NSCT Domain

Fractal and Fractional
In this paper, we introduce an innovative approach to multi-focus image fusion by leveraging the concepts of fractal dimension and coupled neural P (CNP) systems in nonsubsampled contourlet transform (NSCT) domain. This method is designed to overcome the
Liangliang Li, Xiaobin Zhao, Huayi Hou, Xueyu Zhang, Ming Lv, Zhenhong Jia, Hongbing Ma   +6 more
doaj   +1 more source

Fine-grained multi-focus image fusion based on edge features. [PDF]

Sci Rep, 2023
Tian B, Yang L, Dang J.
europepmc   +1 more source

Translating whole‐genome doubling into precision medicine in cancer

Molecular Oncology, EarlyView.
Whole‐genome doubling creates a WGD‐positive tumor state characterized by persistent chromosomal instability, karyotypic diversification, and cellular stress. These same biological pressures drive aggressive tumor evolution while exposing therapeutic vulnerabilities, providing a rationale for WGD‐informed precision medicine. Whole‐genome doubling (WGD)
Sejung Lee, Junghyeok Lim, Jinhyuk Bhin
wiley   +1 more source

Multi-Focus Image Fusion Based on Dual-Channel Rybak Neural Network and Consistency Verification in NSCT Domain

Fractal and Fractional
In multi-focus image fusion, accurately detecting and extracting focused regions remains a key challenge. Some existing methods suffer from misjudgment of focus areas, resulting in incorrect focus information or the unintended retention of blurred ...
Ming Lv, Sensen Song, Zhenhong Jia, Liangliang Li, Hongbing Ma   +4 more
doaj   +1 more source