Results 131 to 140 of about 154,547 (310)

A study on image enhancement methods for printed Bangla document images

open access: yes, 2016
This conference paper was published in the IEEE Xplore [© 2016 IEEE] and the definite version is available at : http://doi.org/10.1109/ICIEV.2016.7760096 The Journal's website is at: http://ieeexplore.ieee.org/document/7760096/Image enhancement is the ...
Nusrat, Fariha   +9 more
core   +1 more source

Finding novel vulnerabilities of hypomorphic BRCA1 alleles

open access: yesMolecular Oncology, EarlyView.
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder   +10 more
wiley   +1 more source

Document image retrieval based on texture features and similarity fusion

open access: yes, 2016
In this paper we investigate the usefulness of two different texture features along with classification fusion for document image retrieval. A local binary texture method, as a statistical approach, and a wavelet analysis technique, as a transform-based ...
Alaei, A   +12 more
core   +1 more source

MITF maintains genome stability in nonmelanocyte lineages

open access: yesMolecular Oncology, EarlyView.
MITF is essential for melanocyte survival and acts as an oncogene in 10%–20% of melanomas. We show that MITF depletion causes genome instability in nonmelanocytic cells, leading to LATS2‐mediated P53 activation, cell cycle arrest, and apoptosis. This study highlights the role of MITF as a genome maintenance factor beyond the melanocyte lineage. Created
Drifa H. Gudmundsdottir   +13 more
wiley   +1 more source

A comprehensive survey of mostly textual document segmentation algorithms since 2008

open access: yes, 2017
International audienceIn document image analysis, segmentation is the task that identifies the regions of a document. The increasing number of applications of document analysis requires a good knowledge of the available technologies.
Ogier, Jean-Marc   +2 more
core   +1 more source

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

open access: yesMolecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka   +9 more
wiley   +1 more source

Historical Document Analysis : A Review of French Projects and Open Issues

open access: yes, 2011
International audienceThis subject is on the crossroad of different fields like sig- nal or image processing, pattern recognition, artificial intel- ligence, man-machine interaction and knowledge engineer- ing.
Coustaty, Mickaël   +2 more
core   +1 more source

Utilizing a Two Planes Model to Rectify Documents With a Single Arbitrary Crease

open access: yesIEEE Access
Document image rectification problem is crucial in document analysis. Most of the current state-of-the-art methods addressing it are data-driven and rely on neural network approaches.
Aleksandr Ershov   +4 more
doaj   +1 more source

Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis

open access: yesMolecular Oncology, EarlyView.
This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht   +3 more
wiley   +1 more source

Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola   +11 more
wiley   +1 more source

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