Results 31 to 40 of about 11,075 (222)

Estimating Optimal Number of Compressively Sensed Bands for Hyperspectral Classification via Feature Selection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Compressive sensing (CS) has received considerable interest in hyperspectral sensing. Recent articles have also exploited the benefits of CS in hyperspectral image classification (HSIC) in the compressively sensed band domain (CSBD).
C. J. Della Porta, Chein-I Chang
doaj   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

Spatial residual clustering and entropy based ranking for hyperspectral band selection

European Journal of Remote Sensing, 2020
Though the Hyper-spectral images (HSI) are associated with rich spectral information for discriminating the class-specific objects, the high dimensional data generates Hughes effect for additional processing. So, during pre-processing, band Selection (BS)
Kishore Raju K., Saradhi Varma G. P., Rajya Lakshmi D.   +2 more
doaj   +1 more source

Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma

Molecular Oncology, EarlyView.
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken, Andrea Abel Gutierrez, Imke van Rossum, Cornelia G. Spruijt, Michiel Vermeulen, Guido van Mierlo, Blanca Scheijen, Annemiek B. van Spriel   +7 more
wiley   +1 more source

TFC: A Series of Band Selection Methods for Hyperspectral Target Detection

IEEE Access
The abundant spectral information provided by hyperspectral images (HSIs) greatly benefits target detection (TD), but it introduces a large amount of data redundancy, which greatly increases the complexity of data processing.
Qianghui Wang, Xikui Miao, Enze Guo, Tao Zhao   +3 more
doaj   +1 more source

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

Molecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix, Daniel Samaga, Katharina Gehr, Benedek Dankó, Mohamed Schumann, Guido Drexler, Ahmed Alnatsha, Georg Beyer, Ujjwal Mahajan, Martin Selmansberger, Julia Mayerle, Claus Belka, Horst Zitzelsberger, Kirsten Lauber   +13 more
wiley   +1 more source

Maximum simplex volume: an efficient unsupervised band selection method for hyperspectral image

IET Computer Vision, 2019
Hyperspectral imaging makes it possible to obtain object information with fine spectral resolution as well as spatial resolution, which is beneficial to a wide array of applications. However, there is a high correlation among the bands in a hyperspectral
Xuefeng Jiang, Lin Zhang, Junrui Liu, Shuying Li   +3 more
doaj   +1 more source

Hyperspectral Imaging Assessment of Systemic Sclerosis Using the Soft Abundance Score and Band Selection

IEEE Access, 2021
Hyperspectral imaging (HSI) is an optical remote sensing technology that has the advantages of high spatial and spectral resolution. Aside from its use in geographical research, HSI has been widely used in medical diagnosis. Systemic sclerosis (SSc) is a
Hsian-Min Chen, Kuo-Lung Lai, Hsin-Hua Chen, Jun-Peng Chen, Chiu-Chin Sung, Yi-Ming Chen   +5 more
doaj   +1 more source

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon, Rui P. L. Neves, Nikolas H. Stoecklein, Sven‐Thorsten Liffers, Jens Siveke, Jan D. Kuhlmann, Pauline Wimberger, Paul Buderath, Rainer Kimmig, Sabine Kasimir‐Bauer   +9 more
wiley   +1 more source

Multiobjective Optimization-Based Hyperspectral Unsupervised Band Selection for Anomaly Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Band selection (BS) is a critical topic in hyperspectral image dimensionality reduction, focusing on identifying representative bands that can convey the essential information of the full bands without significant loss.
Shihui Liu, Bing Xue, Meiping Song, Haimo Bao, Mengjie Zhang   +4 more
doaj   +1 more source