Investigations on segmentation-based fractal texture for texture classification in the presence of Gaussian noise. by Shamik Tiwari, Akhilesh Kumar Sharma, Izzatdin Abdul Aziz, Deepak Gupta, Antima Jain, Hairulnizam Mahdin, Senthil Athithan, Rahmat Hidayat

“…Applications for Segmentation-Based Fractal Texture Features (SFTF) include image classification, texture generation, and medical image analysis. They are beneficial for examining textures with intricate, erratic patterns that are difficult to characterize using conventional statistical techniques accurately. …”
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Investigation of the Role of Machine Learning and Deep Learning in Improving Clinical Decision Making for Musculoskeletal Rehabilitation by Madhu Yadav, Pushpendra Kumar Verma, Sumaiya Ansari

“…In this investigation, we explore the various applications of machine learning and deep learning in musculoskeletal rehabilitation, including image analysis, predictive modelling, and decision support systems. …”
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Morphology of Near- and Semispherical Melted Chips after the Grinding Processes Using Sol-Gel Abrasives Based on SEM-Imaging and Analysis by W. Kapłonek, K. Nadolny, W. Habrat

“…Selected issues related to SEM-imaging and image analysis of spherical melted chips formed during the grinding process are presented and discussed. …”
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PDE-Based Physics Guided Neural Network for SAR Image Segmentation by Rachana Rao, B. Roja Reddy, M. Uttara Kumari

“…Automatic image segmentation is a fundamental task in SAR image analysis. This paper proposes a novel, innovative approach to SAR image segmentation by integrating physics-based knowledge into a neural network framework. …”
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Improving Intensity-Based Lung CT Registration Accuracy Utilizing Vascular Information by Kunlin Cao, Kai Ding, Joseph M. Reinhardt, Gary E. Christensen

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3D Reconstruction and Prediction of Sialolith Surgery by Jamyson Oliveira Santos, Brunna da Silva Firmino, Matheus Santos Carvalho, Jean de Pinho Mendes, Lucas Novaes Teixeira, Sérgio Lúcio Pereira de Castro Lopes, André Luiz Ferreira Costa, Antonione Santos Bezerra Pinto

“…The objective of the present case report is to highlight imaging and processing techniques as well as image analysis for the preoperative assessment and planning of surgical interventions and adequate treatment of massive sialoliths. …”
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Fractal Dimension Analysis of Texture Formation of Whey Protein-Based Foods by Robi Andoyo, Vania Dianti Lestari, Efri Mardawati, Bambang Nurhadi

“…Two methods for fractal analysis were discussed in this review: image analysis (microscopy) and rheology. These methods, however, have several limitations which greatly affect the accuracy of both fractal dimension values and types of aggregation obtained. …”
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Texture feature column scheme for single‐ and multi‐script writer identification by Faycel Abbas, Abdeljalil Gattal, Chawki Djeddi, Imran Siddiqi, Ameur Bensefia, Kamel Saoudi

“…Abstract Identification of writers from images of handwriting is an interesting research problem in the handwriting recognition community. Application of image analysis and machine learning techniques to this problem allows development of computerised solutions which can facilitate forensic experts in reducing the search space against a questioned document. …”
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RadiomixNet: Integrating Radiomics and Feature Extraction for Advanced Pneumonia Diagnosis by Rahul Gowtham Poola, Siva Sankar Yellampalli

“…The research outlines a workflow for medical image analysis and disease diagnosis through radiomics feature extraction. …”
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Revolutionizing Ophthalmic Care: The Impact of Artificial Intelligence by L. Subha, Atul Sharma, Anita Misra

“…It explores AI-driven advancements in image analysis, pattern recognition, and ML techniques for individualized treatment plans, early diagnosis, and categorization. …”
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AI-powered oral cancer detection: A breakthrough in dental diagnostics by Asmita Kharche, Ankita Mathur, Vini Mehta

“…This allows them to detect even small changes and enhance image analysis. Thus, the present paper discusses the ways AI powered oral cancer detection can reduce the risks and increase accuracy to give better quality of life to patients.…”
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Prediction of Pore Size Characteristics of Needle-Punched Nonwoven Geotextiles Subjected to Uniaxial Tensile Strains by Lin Tang, Qiang Tang, Aolai Zhong, Hanjie Li

“…The variation of the fibre orientation with tensile strains and the corresponding effect on pore sizes has been evaluated by image analysis. The out-of-plane Poisson’s ratio and the in-plane Poisson’s ratio of geotextiles have been examined. …”
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Convolutional neural network prediction of the particle size distribution of soil from close-range images by Enrico Soranzo, Carlotta Guardiani, Wei Wu

“…In this study, we propose a convolutional neural network approach for predicting the particle size distribution using soil image analysis. Our model is trained on a diverse dataset of soil samples ranging from clayey silt to gravel. …”
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Effect of Cellulose Loading Ratio on Fiber-Matrix Bonding of LDPE-Based Biocomposite by Yoobsan Ejeta Amensisa, Hundessa Dessalegn Demsash, Muluken Eshetu Tefera

“…Based on SEM microstructure image analysis, moderate fiber-matrix interfacial bonding was observed. …”
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Automatic Estimation of Solar Rooftops and Power Generation From Publicly Available Satellite Imagery Through Georeferencing and Large-Scale Support by John Sullivan, Apichon Witayangkurn

“…Through satellite image analysis, this study aims to accurately identify and evaluate solar rooftops nationwide, providing valuable insights for homeowners, businesses, and government authorities. …”
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Identification of diabetic retinopathy lesions in fundus images by integrating CNN and vision mamba models. by Zenglei Liu, Ailian Gao, Hui Sheng, Xueling Wang

“…The majority of deep learning techniques developed for medical image analysis rely on convolutional modules to extract the inherent structure of images within a certain local receptive field. …”
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Unsupervised Anomaly Detection in Hyperspectral Imaging: Integrating Tensor Robust Principal Component Analysis With Autoencoding Adversarial Networks by Atsuya Emoto, Ryo Matsuoka

“…Hyperspectral (HS) image analysis has gained significant attention due to its ability to capture detailed spectral information across hundreds of bands, making it useful for environmental monitoring and mineral exploration applications. …”
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The Promise of Artificial Intelligence in Neuroanesthesia: An Update by Zhenrui Liao, Niharika Mathur, Vidur Joshi, Shailendra Joshi

“…It will advance the diagnosis and treatment of neurological diseases due to improved risk identification, data integration, early diagnosis, image analysis, and pharmacological and surgical robotic assistance. …”
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Brain tumor segmentation by deep learning transfer methods using MRI images by E.Y. Shchetinin

“…Brain tumor segmentation is one of the most challenging tasks of medical image analysis. The diagnosis of patients with gliomas is based on the analysis of magnetic resonance images and manual segmentation of tumor boundaries. …”
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A feature-based approach for atlas selection in automatic pelvic segmentation. by Guoping Shan, Xue Bai, Yun Ge, Binbing Wang

“…The proposed procedure also reduced computation time compared to cMAS, making it a promising tool for medical image analysis applications. In addition, we have evaluated two distinct atlas selection methods: the Feature-based Atlas Selection Approach (MAS-FASA) and the Similarity-based Atlas Selection Approach (MAS-SIM). …”
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