Results 61 to 70 of about 37,022,242 (283)
This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi +6 more
wiley +1 more source
Combined global and local semantic feature–based image retrieval analysis with interactive feedback
Nowadays, user expects image retrieval systems using a large database as an active research area for the investigators. Generally, content-based image retrieval system retrieves the images based on the low-level features, high-level features, or the ...
A Anandh, K Mala, R Suresh Babu
doaj +1 more source
Content Based Image Indexing and Retrieval
In this paper, we present the efficient content based image retrieval systems which employ the color, texture and shape information of images to facilitate the retrieval process. For efficient feature extraction, we extract the color, texture and shape feature of images automatically using edge detection which is widely used in signal processing and ...
Avinash N. Bhute, B. B. Meshram
openaire +2 more sources
Content Based Image Retrieval on Satellite Imagery
In this study, a content-based image retrieval system for satellite imagery is proposed. The main purpose of the paper is to find the most relevant images to the query image from a massive satellite imagery database using deep learning methodology. For this purpose, graph convolutional network and hash network are combined for image retrieval tasks ...
openaire +3 more sources
Unraveling the epigenetic code in cancer cell–tumor microenvironment crosstalk
Epigenetic regulation is a key driver of cancer development and progression. Diverse epigenetic alterations in cancer cells and components of the tumor microenvironment (TME) orchestrate their communication through multiple mechanisms. We discuss how the epigenetic code coordinates bidirectional cancer cell–TME crosstalk to promote cancer progression ...
Ji Hoon Park, Mi‐Young Kim
wiley +1 more source
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic +10 more
wiley +1 more source
Metadata for Content-Based Image Retrieval
This paper presents an image retrieval technique that combines content based image retrieval with pre-computed metadata-based image retrieval. The resulting system will have the advantages of both approaches: the speed/efficiency of metadata-based image ...
Adrian Sterca, Daniela Miron
doaj
The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer
Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad +2 more
wiley +1 more source
Co-word mapping of Image Retrieval based on Web of Science-Indexed Papers [PDF]
Background and aim: Given the special status and wide usage of image retrieval in various fields, the present investigation studied on the research trends and significant factors within the field of image retrieval and drawing the co-word map based on ...
Samira Daniali +2 more
doaj
Prosemantic Features for Content-Based Image Retrieval [PDF]
We present here, an image description approach based on prosemantic features. The images are represented by a set of low-level features related to their structure and color distribution. Those descriptions are fed to a battery of image classifiers trained to evaluate the membership of the images with respect to a set of 14 overlapping classes ...
CIOCCA, GIANLUIGI +3 more
openaire +1 more source

