Results 61 to 70 of about 1,137 (158)

A META-MODEL FOR LOW-CODE CONFIGURATION AND DEPLOYMENT OF CONTENT-BASED IMAGE RETRIEVAL SYSTEMS

open access: yesКомпютерні системи та інформаційні технології
The object of this study is content-based image retrieval (CBIR) systems with configurable architectures, and the subject is the meta-model for low-code configuration and deployment of CBIR systems.
Станіслав ДАНИЛЕНКО   +1 more
doaj   +1 more source

Query-sensitive similarity measure for content-based image retrieval using meta-heuristic algorithm

open access: yesJournal of King Saud University: Computer and Information Sciences, 2018
Content based image retrieval (CBIR) systems retrieve images linked to the query image (QI) from enormous databases. The feature sets extracted by the present CBIR systems are limited. This limits the systems’ effectiveness.
Mutasem K. Alsmadi
doaj   +1 more source

Skin cancer identification utilizing deep learning: A survey

open access: yesIET Image Processing, Volume 18, Issue 13, Page 3731-3749, 13 November 2024.
This study provides a survey on skin cancer identification using DL techniques utilized in studies from 2017 to 2024. The authors address the latest related studies covering several public skin cancer image datasets and focusing on segmentation, classification based on Convolutional Neural Networks and vision transformers, and explainability.
Dulani Meedeniya   +3 more
wiley   +1 more source

Identification of a Novel Cobamide Remodeling Enzyme in the Beneficial Human Gut Bacterium Akkermansia muciniphila

open access: yesmBio, 2020
The beneficial human gut bacterium Akkermansia muciniphila provides metabolites to other members of the gut microbiota by breaking down host mucin, but most of its other metabolic functions have not been investigated. A.
Kenny C. Mok   +6 more
doaj   +1 more source

Advances in medical image analysis: A comprehensive survey of lung infection detection

open access: yesIET Image Processing, Volume 18, Issue 13, Page 3750-3800, 13 November 2024.
This paper reviews state‐of‐the‐art architectural models for lung image analysis for segmentation, classification and multi‐tasks. Abstract This research investigates advanced approaches in medical image analysis, specifically focusing on segmentation and classification techniques, as well as their integration into multi‐task architectures for lung ...
Shirin Kordnoori   +3 more
wiley   +1 more source

CBIR system using Capsule Networks and 3D CNN for Alzheimer's disease diagnosis

open access: yesInformatics in Medicine Unlocked, 2019
Alzheimer's disease (AD) is an irreversible disorder of the brain related to loss of memory, commonly seen in the elderly and aging population. Implementation of revolutionary computer aided diagnosis techniques with Content Based Image Retrieval (CBIR ...
K.R. Kruthika   +2 more
doaj   +3 more sources

Content based image retrieval using hybrid features and various distance metric

open access: yesJournal of Electrical Systems and Information Technology, 2018
In last decade, large database of images have grown rapidly and will continue in future. Retrieval and querying of these image in efficient way is needed in order to access the visual content from large database.
Yogita Mistry, D.T. Ingole, M.D. Ingole
doaj   +1 more source

Discovering Robustness Amongst CBIR Features

open access: yesInternational journal of Web & Semantic Technology, 2012
Digital photography faces the challenges of image storage, retrieval and provenance at the consumer and commercial level. One major obstacle is in the computational cost of image processing. Solutions range from using high-throughput computing systems to automatic image annotation.
openaire   +1 more source

Review article: Measuring disease severity in inflammatory bowel disease – Beyond treat to target

open access: yesAlimentary Pharmacology &Therapeutics, Volume 60, Issue 9, Page 1176-1199, November 2024.
Measuring disease severity in inflammatory bowel disease requires the consideration of multiple factors that contribute to the overall burden of illness. This may provide a more holistic disease assessment than measuring activity alone at a moment in time.
Akhilesh Swaminathan   +5 more
wiley   +1 more source

Identifying primary tumor site of origin for liver metastases via a combination of handcrafted and deep learning features

open access: yesThe Journal of Pathology: Clinical Research, Volume 10, Issue 1, January 2024.
Abstract Liver is one of the most common sites for metastases, which can occur on account of primary tumors from multiple sites of origin. Identifying the primary site of origin (PSO) of a metastasis can help in guiding therapeutic options for liver metastases.
Chuheng Chen   +6 more
wiley   +1 more source

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