Results 71 to 80 of about 6,778 (208)

Hybrid Model for Visual Sentiment Classification Using Content‐Based Image Retrieval and Multi‐Input Convolutional Neural Network

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
With the exponential growth of multimedia content, visual sentiment classification has emerged as a significant research area. However, it poses unique challenges due to the complexity and subjective nature of the visual information. This can be attributed to the significant presence of semantically ambiguous images within the current benchmark ...
Israa K. Salman Al-Tameemi, Mohammad-Reza Feizi-Derakhshi, Zari Farhadi, Amir-Reza Feizi-Derakhshi, Yingjie Yang   +4 more
wiley   +1 more source

Multifeature Fusion for Enhanced Content‐Based Image Retrieval Across Diverse Data Types

Journal of Electrical and Computer Engineering, Volume 2025, Issue 1, 2025.
There is a growing trend for using content‐based image retrieval (CBIR) systems these days because of the constantly growing interest in digital content. Therefore, the ability of the CBIR to perform the CBIR process will depend on the feature extraction process and its basis, for the retrieval will be done on.
Punit Soni, Mandeep Singh, Purushottam Sharma, Tajinder Kumar, Xiaochun Cheng, Rajender Kumar, Mrinal Paliwal, Kanwarpreet Kaur   +7 more
wiley   +1 more source

SkinSage XAI: An explainable deep learning solution for skin lesion diagnosis

Health Care Science, Volume 3, Issue 6, Page 438-455, December 2024.
The research was meant to disentangle the difficulties of skin lesion diagnosis using a multimodal approach. Our suggested technique offers unparalleled levels of transparency and interpretability in skin lesion categorization and marks a substantial improvement in the area via methodical methodology and meticulous refining.
Geetika Munjal, Paarth Bhardwaj, Vaibhav Bhargava, Shivendra Singh, Nimish Nagpal   +4 more
wiley   +1 more source

A Benchmark for Image Retrieval using Distributed Systems over the Internet: BIRDS-I

, 2000
The performance of CBIR algorithms is usually measured on an isolated workstation. In a real-world environment the algorithms would only constitute a minor component among the many interacting components.
Beretta, Giordano B., Gunther, Neil J.
core   +2 more sources

Content Based Image Retrieval by Convolutional Neural Networks [PDF]

, 2019
Hamreras S., Benítez-Rochel R., Boucheham B., Molina-Cabello M.A., López-Rubio E. (2019) Content Based Image Retrieval by Convolutional Neural Networks. In: Ferrández Vicente J., Álvarez-Sánchez J., de la Paz López F., Toledo Moreo J., Adeli H.
E Walia, G Hinton, J-M Guo, J-M Guo, ME ElAlami, X-Y Wang, Y Liu, YR Charles   +7 more
core   +2 more sources

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

IET 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, Maliheh Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi   +3 more
wiley   +1 more source

COMPREHENSIVE ANALYSIS OF SOME RECENT COMPETITIVE CBIR TECHNIQUES

ICTACT Journal on Image and Video Processing, 2017
In today’s real life applications complexity of multimedia contents is significantly increased. This is highly demanding the development of effective retrieval systems to satisfy human desires.
Pradnya Vikhar, P P Karde, V M Thakare
doaj  

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

The 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, Cheng Lu, Vidya Viswanathan, Brandon Maveal, Bhunesh Maheshwari, Joseph Willis, Anant Madabhushi   +6 more
wiley   +1 more source

Shape-based defect classification for Non Destructive Testing

, 2015
The aim of this work is to classify the aerospace structure defects detected by eddy current non-destructive testing. The proposed method is based on the assumption that the defect is bound to the reaction of the probe coil impedance during the test ...
D'Angelo, Gianni, Rampone, Salvatore
core   +1 more source

SE‐Swin: An improved Swin‐Transfomer network of self‐ensemble feature extraction framework for image retrieval

IET Image Processing, Volume 18, Issue 1, Page 13-21, 10 January 2024.
In order to effectively integrate consistent information between the multiple layers of the Swin Transformer, the model conducts parameter self‐ensemble of the internal blocks of the Swin Transformer. Abstract The Swin‐Transformer is a variant of the Vision Transformer, which constructs a hierarchical Transformer that computes representations with ...
Yixuan Xu, Xianbing Wang, Hua Zhang, Hai Lin   +3 more
wiley   +1 more source