Results 121 to 130 of about 2,324,354 (261)

H2HSR: Hologram-to-Hologram Super-Resolution With Deep Neural Network

IEEE Access
In holography, the resolution of the hologram significantly impacts both display size and angle-of-view, yet achieving high-resolution holograms presents formidable challenges, whether in capturing real-world holograms or in the computational demands of ...
Youchan No, Jaehong Lee, Hanju Yeom, Sungmin Kwon, Duksu Kim   +4 more
doaj   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

Learning spectral and spatial features based on generative adversarial network for hyperspectral image super-resolution

, 2019
Super-resolution (SR) of hyperspectral images (HSIs) aims to enhance the spatial/spectral resolution of hyperspectral imagery and the super-resolved results will benefit many remote sensing applications.
Lei Zhang (38117), Xu Li (23864), Ruituo Jiang (17924348), Lixin Li (568791), Ang Gao (1819549), Shigang Yue (17170645), Hongying Meng (17163403)   +6 more
core   +4 more sources

Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer

Molecular Oncology, EarlyView.
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba, Mark Shacker, Timothy P. Fleming, Michael A. Smith, Ross M. Bremner, Narendra V. Sankpal   +5 more
wiley   +1 more source

Super-resolution approach tailored for wafer transmission electron microscopy images

Scientific Reports
High-resolution wafer transmission electron microscopy (TEM) images are essential for nano-level analysis in semiconductor manufacturing. Although super-resolution offers significant potential for obtaining high-resolution images, training super ...
Sungsu Kim, Insung Baek, Hansam Cho, Yongwon Jo, Heejoong Roh, Kyunghye Kim, Munki Jo, Jaeung Tae, Seoung Bum Kim   +8 more
doaj   +1 more source

A Unified Framework for Super-Resolution via Clean Image Prior

IEEE Access
Super-resolution (SR) methods aim to generate a clean, high-resolution (HR) image from a low-resolution (LR) image containing unknown degradations.
Songju Na, Yoonchan Nam, Suk-Ju Kang
doaj   +1 more source

Spatial heterogeneity of hotspot mutations and clonal relatedness in ovarian endometrioid carcinoma

Molecular Oncology, EarlyView.
Spatially resolved analysis revealed heterogeneous distributions of selected cancer‐associated mutations within ovarian endometrioid carcinomas. Shared mutations between paired endometrial and ovarian tumors supported clonal relatedness. These findings highlight the value of sampling multiple tumor regions when interpreting molecular profiles ...
Takahito Ashihara, Kosuke Murakami, Shiro Takamatsu, Akiko Kanto, Seiichi Mori, Tomoyuki Otani, Kazuko Sakai, Yasushi Kotani, Kazuto Nishio, Kaoru Abiko, Noriomi Matsumura   +10 more
wiley   +1 more source

The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection

Molecular Oncology, EarlyView.
Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński, Krzysztof Pastuszak, Anna Samelak‐Czajka, Zuzanna Cemka, Paulina Jackowiak, Tomasz Stefaniak, Sylwia Łapińska‐Szumczyk, Jacek Jassem, Anna J. Żaczek, Matthew T. Rondina, Myron G. Best, Sjors G. J. G. In 't Veld, Anna Supernat   +12 more
wiley   +1 more source

Local semi-supervised regression for single-image super-resolution

, 2011
In this paper, we propose a local semi-supervised learning-based algorithm for single-image super-resolution. Different from most of example-based algorithms, the information of test patches is considered during learning local regression functions which ...
Xiaoli Pan, LiLuoqing, Luoqing Li, Li, Xuelong, Yan, P., Pingkun Yan, YuanYuan, Yuan Yuan, Yi Tang, TangYi, Yuan, Y., YanPingkun, Tang, Y., PanXiaoli, Pan, X., Xuelong Li, LiXuelong, Li, L.   +17 more
core   +1 more source

Overcoming platinum resistance by the disulfiram metabolite CuET in novel preclinical models of human carcinomas

Molecular Oncology, EarlyView.
Cisplatin‐resistant cancer cells survive DNA‐damaging platinum‐based treatment yet remain sensitive to CuET‐induced proteotoxic stress. The distinct mechanism of action allows CuET to overcome and eliminate cisplatin‐resistant tumour cells, unless highly expressed metallothioneins (MTs) interfere with CuET, thereby highlighting MT levels as candidate ...
Stefanos Arampatzis, Tereza Buchtová, Jirina Bartkova, Marie Lund Bay, Christoffer Lynge Halvorsen, Zuzana Machacova, Zdenek Skrott, Martin Mistrik, Ekaterina Dulina, Miguel Andujar‐Sanchez, Estrid Høgdall, Tine Henrichsen Schnack, Claus Høgdall, Berit Jul Mosgaard, Marie Boennelycke, Jacob Brink Laursen, Allan Jensen, Susanne K. Kjær, Tuula Kallunki, Robert Strauss, Jiri Bartek   +20 more
wiley   +1 more source