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Image Analysis 22nd Scandinavian Conference, SCIA 2023, Sirkka, Finland, April 18–21, 2023, Proceedings, Part II
This two-volume set (LNCS 13885-13886) constitutes the refereed proceedings of the 23rd Scandinavian Conference on Image Analysis, SCIA 2023, held in...
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Image Analysis 22nd Scandinavian Conference, SCIA 2023, Sirkka, Finland, April 18–21, 2023, Proceedings, Part I.
This two-volume set (LNCS 13885-13886) constitutes the refereed proceedings of the 23rd Scandinavian Conference on Image Analysis, SCIA 2023, held in...
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Application of visual transformer in renal image analysis
Deep Self-Attention Network (Transformer) is an encoder–decoder architectural model that excels in establishing long-distance dependencies and is...
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Topological data analysis and image visibility graph for texture classification
Texture, a crucial element in image recognition, presents challenges in computer vision tasks like segmentation and classification. This study aims...
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Labelling instructions matter in biomedical image analysis
Biomedical image analysis algorithm validation depends on high-quality annotation of reference datasets, for which labelling instructions are key....
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Deep Learning Applications in Image Analysis
This book provides state-of-the-art coverage of deep learning applications in image analysis. The book demonstrates various deep learning algorithms...
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A Review of Satellite Image Analysis Tools
The rapid growth of urban areas, population, and pollution presents a significant environmental challenge. Addressing these challenges requires...
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Image fusion research based on the Haar-like multi-scale analysis
In view of the serious color and definition distortion in the process of the traditional image fusion, this study proposes a Haar-like multi-scale...
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Deep Learning for Medical Image Analysis
Medical image analysis aims to enhance medical outcomes by using images of internal body parts for purposes such as research and diagnosis. The field...
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Convolutional Neural Network in Medical Image Analysis: A Review
Medical image analysis helps in resolving clinical issues by examining clinically generated images. In today’s world of deep learning (DL) along with...
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ClKI: closed-loop and knowledge iterative via self-distillation for image sentiment analysis
Image sentiment analysis has received a lot of attention due to the fact that users prefer to express their private emotions using images on social...
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A strain mode spectral digital image correlation method for displacement field analysis
A spectral image correlation method considering the effect of displacement gradients upon displacement analysis in the Fourier frequency domain is...
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Learning robust features alignment for cross-domain medical image analysis
Deep learning demonstrates impressive performance in many medical image analysis tasks. However, its reliability builds on the labeled medical...
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A survey of Transformer applications for histopathological image analysis: New developments and future directions
Transformers have been widely used in many computer vision challenges and have shown the capability of producing better results than convolutional...
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Accelerating spectral digital image correlation computation with Taylor series image reconstruction
In this paper, we introduce an accelerating algorithm based on the Taylor series for reconstructing target images in the spectral digital image...
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Basketball Image Trajectory Analysis Based on Intelligent Acquisition of Mobile Terminal
In view of the obvious deviation of traditional methods in the analysis of basketball flight state, a basketball trajectory analysis method based on...
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Self-supervised learning for medical image analysis: a comprehensive review
Deep learning and advancements in computer vision offer significant potential for analyzing medical images resulting in better healthcare and...
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Plant Image Analysis
A key discipline in plant research is the evaluation of plants’ response to different environmental conditions in order to infer plant functioning....
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Cytopathology image analysis method based on high-resolution medical representation learning in medical decision-making system
Artificial intelligence has made substantial progress in many medical application scenarios. The quantity and complexity of pathology images are...
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Quantitative image analysis of thrombus formation in microfluidic in-vitro models
In this study, we present a method to quantitatively analyze the thrombus formation process through image analysis in an in vitro thrombus model with...
