Results 161 to 170 of about 678,145 (379)

Enhanced discovery of bacterial laccase‐like multicopper oxidase through computer simulation and metagenomic analysis of industrial wastewater

FEBS Open Bio, EarlyView.
We obtained potential bacterial laccase‐like multicopper oxidase (LMCO) sequences through metagenomic sequencing. All sequences exhibited significant differences from known LMCOs in databases. To select the most promising candidates, we performed structure prediction and molecular docking using alphafold2, metal3d and rosetta.
Ting Cui, Ariel Kushmaro, Hana Barak, Anja Poehlein, Rolf Daniel, Hans‐Jürgen Mägert   +5 more
wiley   +1 more source

AN INTELLIGENT CONTENT BASED IMAGE RETRIEVAL SYSTEM FOR MAMMOGRAM IMAGE ANALYSIS [PDF]

Journal of Engineering Science and Technology, 2015
An automated segmentation method which dynamically selects the parenchymal region of interest (ROI) based on the patients breast size is proposed from which, statistical features are derived.
K. VAIDEHI, T. S. SUBASHINI
doaj  

Securing content-based image retrieval on the cloud using generative models. [PDF]

Multimed Tools Appl, 2022
Wang Y, Wang FC, Liu F, Wang XH.
europepmc   +1 more source

Query by Fax for Content-Based Image Retrieval [PDF]

, 2002
Mohammad Faizal Ahmad Fauzi, Paul Lewis
openalex   +1 more source

Survey On Content Based Image Retrieval

, 2014
Invention of digital technology has lead to increase in the number of images that can be stored in digital format. So searching and retrieving images in large image databases has become more challenging. From the last few years, Content Based Image Retrieval (CBIR) gained increasing attention from researcher. CBIR is a system which uses visual features
openaire   +2 more sources

AutoRet: A Self-Supervised Spatial Recurrent Network for Content-Based Image Retrieval. [PDF]

Sensors (Basel), 2022
Monowar MM, Hamid MA, Ohi AQ, Alassafi MO, Mridha MF.   +4 more
europepmc   +1 more source

Content-based retrieval from image databases: current solutions and future directions [PDF]

, 2002
Nuno Vasconcelos, M. Kunt
openalex   +1 more source

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

Impact of a content-based image retrieval system on the interpretation of chest CTs of patients with diffuse parenchymal lung disease. [PDF]

Eur Radiol, 2023
Röhrich S, Heidinger BH, Prayer F, Weber M, Krenn M, Zhang R, Sufana J, Scheithe J, Kanbur I, Korajac A, Pötsch N, Raudner M, Al-Mukhtar A, Fueger BJ, Milos RI, Scharitzer M, Langs G, Prosch H.   +17 more
europepmc   +1 more source

Segmentation and Content-Based Watermarking for Color Image and Image Region Indexing and Retrieval [PDF]

, 2002
Nikolaos V. Boulgouris, Ioannis Kompatsiaris, Vasileios Mezaris, D. Simitopoulos, M.G. Strintzis   +4 more
openalex   +1 more source