Results 121 to 130 of about 1,074,043 (334)

Enhanced imaging [PDF]

Colorectal Disease, 2015
openaire   +4 more sources

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

Molecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh, Nikola Tom, Anna Schrøder Lassen, Helene Brasch Lind Petersen, Ulrik Kristoffer Stoltze, Karin Wadt, Kjeld Schmiegelow, Matteo Tiberti, Elena Papaleo   +8 more
wiley   +1 more source

Perceptual enhancement of tumor targets in chest X-ray images [PDF]

, 1993
Elizabeth A. Krupinski, Calvin F. Nodine, Harold L. Kundel   +2 more
openalex   +1 more source

Comprehensive omics‐based classification system in adult patients with B‐cell acute lymphoblastic leukemia

Molecular Oncology, EarlyView.
The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song, Ting Liu, Qishan Hao, Qiuyun Fang, Xiaoyuan Gong, Yan Li, Zheng Tian, Hui Wei, Min Wang, Jianxiang Wang, Tao Cheng, Yingchang Mi   +11 more
wiley   +1 more source

Underwater Image Enhancement Based on Transformer, Attention, and Multi-Color-Space Inputs

IEEE Access
Underwater images suffer from color distortion, low contrast and blurring caused by the attenuation, refraction, and scattering of light. For many maritime operations, underwater image enhancement is essential.
Liqiong Lu, Dong Wu, Liuyin Wang, Wanzhen Zhang, Tonglai Liu   +4 more
doaj   +1 more source

Enhancement of chest images by automatic adaptive spatial filtering [PDF]

, 1992
Miguel Souto, José Correa, Pablo G. Tahoces, Douglas M. Tucker, Katerina Malagari, J Vidal, Robert G. Fraser   +6 more
openalex   +1 more source

Circulating tumor DNA monitoring and blood tumor mutational burden in patients with metastatic solid tumors treated with atezolizumab

Molecular Oncology, EarlyView.
In patients treated with atezolizumab as a part of the MyPathway (NCT02091141) trial, pre‐treatment ctDNA tumor fraction at high levels was associated with poor outcomes (radiographic response, progression‐free survival, and overall survival) but better sensitivity for blood tumor mutational burden (bTMB).
Charles Swanton, Russell W. Madison, Candice Francheska B. Tambaoan, Funda Meric‐Bernstam, Christopher J. Sweeney, Razelle Kurzrock, Howard A. Burris III, David R. Spigel, Hanna Tukachinsky, Jason Hughes, Julia Malato, Bongin Yoo, Tania Szado, Cheryl Schwab, Lincoln W. Pasquina, Amaya Gasco, Katja Schulze, Claire F. Friedman   +17 more
wiley   +1 more source

Progressive Color Correction and Vision-Inspired Adaptive Framework for Underwater Image Enhancement

Journal of Marine Science and Engineering
Underwater images frequently exhibit color distortion, detail blurring, and contrast degradation due to absorption and scattering by the underwater medium.
Zhenhua Li, Wenjing Liu, Ji Wang, Yuqiang Yang   +3 more
doaj   +1 more source

Dose‐dependent induction of epithelial‐mesenchymal transition in 3D melanoma models by non‐thermal plasma treatment

Molecular Oncology, EarlyView.
Non‐thermal plasma treatment of melanoma cells induced epithelial‐mesenchymal transition (EMT) in a dose‐dependent fashion. This report highlights the critical need to further investigate potential adverse effects of non‐thermal plasma for cancer therapy and to optimize treatment parameters for clinical translation. Despite the promising results of non‐
Eline Biscop, Edgar Cardenas De La Hoz, Hanne Verswyvel, Joey De Backer, Ho Wa Lau, Angela Privat‐Maldonado, Wim Vanden Berghe, Steve Vanlanduit, Evelien Smits, Annemie Bogaerts, Abraham Lin   +10 more
wiley   +1 more source

Unsupervised Boosted Fusion Network for Single Low-Light Image Enhancement

IEEE Access
Unsupervised methods are gradually becoming a research hotspot in low-light image enhancement due to their lack of paired training data and higher quality visual enhancement effects, but existing unsupervised low-light image enhancement methods generate ...
Jianfeng Zhang, Hengxuan Li, Zhanqiang Huo   +2 more
doaj   +1 more source