Results 61 to 70 of about 167,567 (320)

Parallelizing Scale Invariant Feature Transform on a Distributed Memory Cluster [PDF]

, 2011
Scale Invariant Feature Transform (SIFT) is a computer vision algorithm that is widely-used to extract features from images. We explored accelerating an existing implementation of this algorithm with message passing in order to analyze large data sets ...
Bobovych, Stanislav
core   +2 more sources

Time, the final frontier

Molecular Oncology, EarlyView.
This article advocates integrating temporal dynamics into cancer research. Rather than relying on static snapshots, researchers should increasingly consider adopting dynamic methods—such as live imaging, temporal omics, and liquid biopsies—to track how tumors evolve over time.
Gautier Follain, Michal Dibus, Omkar Joshi, Guillaume Jacquemet   +3 more
wiley   +1 more source

A Zero-Watermarking Algorithm Based on Scale-Invariant Feature Reconstruction Transform

Applied Sciences
In order to effectively protect and verify the copyright information of multimedia digital works, this paper proposes a zero-watermarking algorithm based on carrier image feature point descriptors.
Fan Li, Zhong-Xun Wang
doaj   +1 more source

Learning Robust Feature Descriptor for Image Registration With Genetic Programming

IEEE Access, 2020
The robustness and accuracy of feature descriptor are two essential factors in the process of image registration. Existing feature descriptors can extract important image features, but it may be difficult to find enough correct correspondences for ...
Yue Wu, Qingxiu Su, Wenping Ma, Shaodi Liu, Qiguang Miao   +4 more
doaj   +1 more source

Robust Descriptor Algorithm Considering the Changing Gray Value Trends Inside Ground Objects for Heterogeneous Optical Image Matching

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Differences in sensor types, resolutions, and imaging conditions can lead to considerable spectral differences in heterogeneous optical remote sensing images and the similarity of scale-invariant feature transform (SIFT) or local self-similarities (LSS ...
Li Xue, Yehua Sheng, Ka Zhang
doaj   +1 more source

Linear Spatial Pyramid Matching Using Non-convex and non-negative Sparse Coding for Image Classification

, 2015
Recently sparse coding have been highly successful in image classification mainly due to its capability of incorporating the sparsity of image representation.
Bao, Chengqiang, He, Liangtian, Wang, Yilun   +2 more
core   +1 more source

Aberrant expression of nuclear prothymosin α contributes to epithelial‐mesenchymal transition in lung cancer

Molecular Oncology, EarlyView.
Nuclear prothymosin α inhibits epithelial‐mesenchymal transition (EMT) in lung cancer by increasing Smad7 acetylation and competing with Smad2 for binding to SNAI1, TWIST1, and ZEB1 promoters. In early‐stage cancer, ProT suppresses TGF‐β‐induced EMT, while its loss in the nucleus in late‐stage cancer leads to enhanced EMT and poor prognosis.
Liyun Chen, Chung‐Teng Wang, Jia‐Ming Chang, Ai‐Li Shiau, Gia‐Shing Shieh, Yau‐Lin Tseng, Yi‐Ting Yen, Tang‐Hsiu Huang, Li‐Hsin Cheng, Yu‐Chih Wu, Chao‐Liang Wu, Bing‐Hua Su, Pensee Wu   +12 more
wiley   +1 more source

Texture classification using invariant ranklet features [PDF]

, 2008
A novel invariant texture classification method is proposed. Invariance to linear/non-linear monotonic gray-scale transformations is achieved by submitting the image under study to the ranklet transform, an image processing technique relying on the ...
Campanini, Renato, Masotti, Matteo
core   +1 more source

A nucleotide‐independent, pan‐RAS‐targeted DARPin elicits anti‐tumor activity in a multimodal manner

Molecular Oncology, EarlyView.
We report a Designed Ankyrin Repeat Protein that binds and inhibits RAS proteins, which serve as central cell signaling hubs and are essential for the progression of many cancers. Its unique feature is that it does not discriminate between different RAS isoforms or mutations and is capable of binding to RAS in both its active (GTP‐bound) and inactive ...
Jonas N. Kapp, Wouter P. R. Verdurmen, Jonas V. Schaefer, Kari Kopra, Gabriela Nagy‐Davidescu, Elodie Richard, Marie‐Julie Nokin, Patrick Ernst, Rastislav Tamaskovic, Martin Schwill, Ralph Degen, Claudia Scholl, David Santamaria, Andreas Plückthun   +13 more
wiley   +1 more source

A Local Feature Descriptor Based on SIFT for 3D Pollen Image Recognition

IEEE Access, 2019
Biological particle automatic classification is an important issue in index tasking for people with pollen hypersensitivity. This paper attempts to present a local feature extraction method based on SIFT for automatic 3D pollen image recognition.
Zhuo Wang, Wenzheng Bao, Da Lin, Zixuan Wang   +3 more
doaj   +1 more source