Results 71 to 80 of about 36,977,793 (187)

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

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

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

Content-Based Image Retrieval and Feature Extraction: A Comprehensive Review

Mathematical Problems in Engineering, 2019
Multimedia content analysis is applied in different real-world computer vision applications, and digital images constitute a major part of multimedia data.
Afshan Latif, A. Rasheed, Umer Sajid, Jameel Ahmed, N. Ali, N. Ratyal, Bushra Zafar, Saadat Hanif Dar, M. Sajid, Tehmina Khalil   +9 more
semanticscholar   +1 more source

Automated Tomato Leaf Disease Detection Using Image Processing: An SVM‐Based Approach with GLCM and SIFT Features

Journal of Engineering, Volume 2024, Issue 1, 2024.
Tomato cultivation is increasingly widespread, yet it faces significant challenges, particularly from plant diseases caused by fungi, bacteria, and insects. Addressing these diseases is crucial for ensuring the quality and yield of tomato crops. To support specialists in accurately identifying and managing these diseases, we propose an advanced ...
Rashid Khan, Nasir Ud Din, Asim Zaman, Bingding Huang, Rosa De Finis   +4 more
wiley   +1 more source

Mitigating cloud vulnerabilities using a blockchain platform

Frontiers in Blockchain
Content-Based Image Retrieval (CBIR) has become a critical technology for efficiently searching and retrieving images from large datasets based on their visual content.
Dina Zoughbi, Kavitha Venkatachalam
doaj   +1 more source

Content-Based Image Retrieval for Multi-Class Volumetric Radiology Images: A Benchmark Study

IEEE Access
With the growing number of images generated daily in radiological practices and the digitization of historical studies, we face large databases where metadata can be incomplete or incorrect.
Farnaz Khun Jush, Steffen Vogler, Tuan Truong, Matthias Lenga   +3 more
doaj   +1 more source

An adaptive technique for content-based image retrieval [PDF]

, 2006
We discuss an adaptive approach towards Content-Based Image Retrieval. It is based on the Ostensive Model of developing information needs—a special kind of relevance feedback model that learns from implicit user feedback and adds a temporal notion to ...
Urban, J., Van Rijsbergen, C.J., Jose, J.M.   +2 more
core   +1 more source