Results 121 to 130 of about 678,145 (379)

From Content-Based Image Retrieval by Shape to Image Annotation

Advances in Electrical and Computer Engineering, 2010
In many areas such as commerce, medical investigations, and others, large collections of digital images are being created. Search operations inside these collections of images are usually based on low-level features of objects contained in an image ...
MOCANU, I.
doaj   +1 more source

A Bag of Visual Words Model for Medical Image Retrieval [PDF]

arXiv, 2020
Medical Image Retrieval is a challenging field in Visual information retrieval, due to the multi-dimensional and multi-modal context of the underlying content. Traditional models often fail to take the intrinsic characteristics of data into consideration, and have thus achieved limited accuracy when applied to medical images.
arxiv  

Content- Based Image Retrieval (CBIR) System [PDF]

, 2009
As a partial fulfillment of the Final Year Project, this project explores of Content- Based Image Retrieval (CBIR), also known as Query by Image Content (QBIC) and Content- Based Visual Information Retrieval (QBVIR). It is a computer vision application
Rosli, Nur Sarhanah
core  

Elucidating prognostic significance of purine metabolism in colorectal cancer through integrating data from transcriptomic, immunohistochemical, and single‐cell RNA sequencing analysis

Molecular Oncology, EarlyView.
Low expression of five purine metabolism‐related genes (ADSL, APRT, ADCY3, NME3, NME6) was correlated with poor survival in colorectal cancer. Immunohistochemistry analysis showed that low NME3 (early stage) and low ADSL/NME6 (late stage) levels were associated with high risk.
Sungyeon Kim, Myunghee Kang, Soyeon Jeong, Jisup Kim, Kyoung Oh Kim, Won‐Suk Lee, Jeong‐Heum Baek, Jung Ho Kim, Seungyoon Nam   +8 more
wiley   +1 more source

Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma

Molecular Oncology, EarlyView.
This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu, Jianchao Wang, Fuqing Chen, Xuefeng Wang, Bin Lan, Ruyi Fu, Hong Wen, Fangfang Chen, Wei Hong, Tian‐Yu Tang, Ying He, Gang Chen, Jianyin Zhou, Hai‐Long Piao, Di Chen, Shu‐Yong Lin   +15 more
wiley   +1 more source

Co-word mapping of Image Retrieval based on Web of Science-Indexed Papers

مجله علم‌سنجی کاسپین, 2018
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, Nader Naghshineh, Gholamreza Fadai   +2 more
doaj  

Human-Centered Content-Based Image Retrieval [PDF]

, 2005
Retrieval of images that lack a (suitable) annotations cannot be achieved through (traditional) Information Retrieval (IR) techniques. Access through such collections can be achieved through the application of computer vision techniques on the IR problem,
Broek, Egon L. van den
core   +4 more sources

Content based Image Retrieval using Color and Texture

, 2016
A Content Based Image Retrieval System is a computer system for browsing, searching and retrieving images from a large database of digital images .Most common methods of image retrieval utilize some method of adding meta data such as captioning, keywords
Tasneem Mirza, Rishabh Indoria, Geet Dalwani, Krish Jain   +3 more
semanticscholar   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Content-Based Image Retrieval in Medical Domain: A Review

Journal of Physics: Conference Series, 2018
Content-based Image Retrieval (CBIR) aids radiologist to identify similar medical images in recalling previous cases during diagnosis. Although several algorithms have been introduced to extract the content of the medical images, the process is still a ...
N. M. Zin, Rozianiwati Yusof, Saima Anwar Lashari, A. Mustapha, N. Senan, R. Ibrahim   +5 more
semanticscholar   +1 more source