Results 101 to 110 of about 678,145 (379)

Integration of single‐cell and bulk RNA‐sequencing data reveals the prognostic potential of epithelial gene markers for prostate cancer

open access: yesMolecular Oncology, EarlyView.
Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley   +1 more source

Content based image retrieval through object features

open access: yesJournal of Computer Science and Technology, 2018
Digital images are an increasingly important class of data, especially as computers become more usable with greater memory and communication capacities. As the demand for digital images increases, the need to store and retrieve images in an intuitive and
Ramanujam Meenakshi
doaj  

Content Based Image Retrieval Berdasarkan Ciri Tekstur Menggunakan Wavelet [PDF]

open access: yes, 2006
Content Based Image Retrieval System (CBIR) merupakan suatu metode pencarian citra dengan melakukan perbandingan antara citra query dengan citra yang ada didatabase berdasarkan informasi yang ada pada citra tersebut (Query by Example).
Ramadijanti, N. (Nana)
core  

MET variants with activating N‐lobe mutations identified in hereditary papillary renal cell carcinomas still require ligand stimulation

open access: yesMolecular Oncology, EarlyView.
MET variants in the N‐lobe of the kinase domain, found in hereditary papillary renal cell carcinoma, require ligand stimulation to promote cell transformation, in contrast to other RTK variants. This suggests that HGF expression in the microenvironment is important for tumor growth in such patients. Their sensitivity to MET inhibitors opens the way for
Célia Guérin   +14 more
wiley   +1 more source

Local Feature Detectors, Descriptors, and Image Representations: A Survey [PDF]

open access: yesarXiv, 2016
With the advances in both stable interest region detectors and robust and distinctive descriptors, local feature-based image or object retrieval has become a popular research topic. %All of the local feature-based image retrieval system involves two important processes: local feature extraction and image representation.
arxiv  

Content -based Image Retrieval for Image Indexing [PDF]

open access: yesInternational Journal of Advanced Computer Science and Applications, 2015
Content-based image retrieval has attained a position of overwhelming dominance in computer vision with the advent of digital cameras and explosion of images in the Internet and Clouds. Finding the most relevant images in a short time is a challenging job with many big cloud sites competing in image search in terms of accuracy and recall.
openaire   +1 more source

Response to neoadjuvant chemotherapy in early breast cancers is associated with epithelial–mesenchymal transition and tumor‐infiltrating lymphocytes

open access: yesMolecular Oncology, EarlyView.
Epithelial–mesenchymal transition (EMT) and tumor‐infiltrating lymphocytes (TILs) are associated with early breast cancer response to neoadjuvant chemotherapy (NAC). This study evaluated EMT and TIL shifts, with immunofluorescence and RNA sequencing, at diagnosis and in residual tumors as potential biomarkers associated with treatment response.
Françoise Derouane   +16 more
wiley   +1 more source

Molecular and functional profiling unravels targetable vulnerabilities in colorectal cancer

open access: yesMolecular Oncology, EarlyView.
We used whole exome and RNA‐sequencing to profile divergent genomic and transcriptomic landscapes of microsatellite stable (MSS) and microsatellite instable (MSI) colorectal cancer. Alterations were classified using a computational score for integrative cancer variant annotation and prioritization.
Efstathios‐Iason Vlachavas   +15 more
wiley   +1 more source

Image Retrieval Based on Edge Histogram Descriptor of MPEG-7

open access: yesEurasian Journal of Science and Engineering, 2020
A major research area in computer vision is content-based image retrieval. MPEG-7 sets up a list of descriptions of the structured image content. We examine the weakness and lack of retrieval approaches based on global characteristics in this study by ...
Bilal Ahmed   +2 more
doaj   +1 more source

A Novel Technique Based on Visual Words Fusion Analysis of Sparse Features for Effective Content-Based Image Retrieval

open access: yes, 2018
Content-based image retrieval (CBIR) is a mechanism that is used to retrieve similar images from an image collection. In this paper, an effective novel technique is introduced to improve the performance of CBIR on the basis of visual words fusion of ...
Muhammad Haroon Yousuf   +6 more
semanticscholar   +1 more source

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