A Comparative Evaluation of Texture Features for Semantic Segmentation of Breast Histopathological Images by R. Rashmi, Keerthana Prasad, Chethana Babu K. Udupa, V. Shwetha

“…But analysis of histopathological image is challenging due to various reasons such as heterogeneity of nucleus structure, overlapping nuclei, clustered nuclei, variations in illumination, presence of noise etc. …”
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Iris Recognition System Using Advanced Segmentation Techniques and Fuzzy Clustering Methods for Robotic Control by Slim Ben Chaabane, Rafika Harrabi, Hassene Seddik

“…The main idea of this work revolves around iris recognition from an eye image, specifically identifying the centroid of the iris. …”
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Applying neural networks in coordinated group signal transformation to improve image quality by E.A. Lopukhova, G.S. Voronkov, I.V. Kuznetsov, V.V. Ivanov, R.V. Kutluyarov, A.Kh. Sultanov, E.P. Grakhova

“…The criterion for clustering was the change of image gradient. The use of radial neural network in the clustering algorithm increased the speed of the proposed method. …”
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Research on Sleeper Detection Scheme Based on Image and Laser Multi-data Fusion by LIU Yuanming, ZHANG Lei

“…This scheme combines the chaos enhanced drosophila optimization algorithm (CFOA) and the fuzzy clustering segmentation technology, expands the application scope of the algorithm, improves the accuracy of image recognition and anti-noise performance, and carries out multi-data fusion with the laser ranging sensor data. …”
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Methods Research on Correction for Intracranial Metal Artifacts Based on Prior Image Utilization by Zonggui CHEN, Ningning WEI, Zhoufan LI, Guihong PAN, Minjiang HUANG

“…Objective: A metal artifact correction algorithm based on prior image is proposed to suppress the effect of intracranial metal artifacts on postoperative review. …”
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Multifeatured Image Retrieval Techniques Based on Partial Differential Equations for Online Shopping by Jiaohui Yu

“…To improve the search speed of the data-dependent locally sensitive hashing algorithm, we propose a query pruning algorithm compatible with the proposed partial differential equation-based multifeature image retrieval technology method, which greatly improves the retrieval speed while ensuring the retrieval accuracy; to implement the data-dependent partial differential equation algorithm, we need to distribute the data set among different operation nodes, and to better achieve better parallelization of operations, we need to measure the similarity between categories, and we achieve the problem of distributing data among various categories in each operation node by introducing a clustering method with constraints. …”
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Model-free reconstruction of excitatory neuronal connectivity from calcium imaging signals. by Olav Stetter, Demian Battaglia, Jordi Soriano, Theo Geisel

“…We introduce an improved algorithmic approach based on Transfer Entropy to reconstruct structural connectivity from network activity monitored through calcium imaging. …”
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Protocol for long-term ex vivo cultivation and imaging of Drosophila imaginal discs by Liyuan Sui, Christian Dahmann

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Deterministic Light Detection and Ranging (LiDAR)-Based Obstacle Detection in Railways Using Data Fusion by Susana Dias, Pedro J. S. C. P. Sousa, João Nunes, Francisco Afonso, Nuno Viriato, Paulo J. Tavares, Pedro M. G. P. Moreira

“…Using a data fusion approach, pre-existing knowledge about the track topography is incorporated into the LiDAR data processing pipeline in conjunction with the DBSCAN clustering algorithm to identify and classify potential obstacles based on point cloud density patterns. …”
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Particle Morphology Analysis of Biomass Material Based on Improved Image Processing Method by Zhaolin Lu, Xiaojuan Hu, Yao Lu

“…In addition, an image segmentation algorithm based on particle geometrical information was proposed to recognise the finer clustered powders. …”
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In Vivo Noncontact Imaging of Conjunctival Goblet Cells with Customized Widefield Fluorescence Microscopy by Yushuang Liu, MS, Zhengyu Duan, PhD, Zhongzhou Luo, BEng, Runze Zhang, MS, Jiaxiong Li, MS, Jinze Zhang, PhD, Zeyu Meng, MS, Bowen Wang, MD, PhD, Jin Yuan, MD, PhD, Peng Xiao, PhD

“…Methods: Based on the intrinsic fluorescence properties of moxifloxacin, a high-resolution noncontact widefield fluorescence microscopy (WFFM) was customized with an all-in-focus algorithm to optimize in vivo CGC imaging over the curved conjunctival surface. …”
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Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

“…Natural language processing plays a crucial role in structuring free-form radiology reports, facilitating the interpretation of textual content, and enhancing data utility through clustering techniques. Clustering allows for the identification of similar lesions and disease patterns across a broad dataset, making it useful for aggregating information and discovering new insights in medical imaging. …”
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Pairing explainable deep learning classification with clustering to uncover effects of schizophrenia upon whole brain functional network connectivity dynamics by Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun

“…Existing studies often use either machine learning classification or clustering algorithms. Additionally, several studies have used clustering algorithms to extract features related to brain states trajectories that can be used to train interpretable classifiers. …”
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Background Radiance Estimation for Gas Plume Quantification for Airborne Hyperspectral Thermal Imaging by Ramzi Idoughi, Thomas H. G. Vidal, Pierre-Yves Foucher, Marc-André Gagnon, Xavier Briottet

“…It consists in performing a classification of the scene and then applying a principal components analysis based method to estimate the background radiance on each cluster stemming from the classification. In order to determine the contribution of the classification to the background radiance estimation, we compared the two approaches on synthetic data and Telops Fourier Transform Spectrometer (FTS) Imaging Hyper-Cam LW airborne acquisition above ethylene release. …”
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Predicting sensory evaluation of spinach freshness using machine learning model and digital images. by Kento Koyama, Marin Tanaka, Byeong-Hyo Cho, Yusaku Yoshikawa, Shige Koseki

“…Correlation analysis between the extracted features and the sensory evaluation score showed a positive correlation (0.5 < r < 0.6) for four color features, and a negative correlation (‒0.6 < r < ‒0.5) for six clusters in the local features. The support vector machine classifier and artificial neural network algorithm successfully classified spinach samples with overall accuracy 70% in four-class, 77% in three-class and 84% in two-class, which was similar to that of the individual panel evaluations. …”
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Measurement of spatial heterogeneity in street restorative perceptions and street refinement design by Yalun Lei, Qingqing Li, Jingwen Tian, Jia Hu, Jixiang Jiang

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Weakly Semi Supervised learning based Mixture Model With Two-Level Constraints by Adama Nouboukpo, Mohand Saïd Allili

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Radial Basis Neural Network Construction and Training for Telegraph-Code Structure Reception by D. A. Chistoprudov, V. A. Kozlov, M. R. Bibarsov, D. A. Potyagov, N. Ya. Karasik

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A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example by I. D. Busov, M. A. Genaev, E. G. Komyshev, V. S. Koval, T. E. Zykova, A. Y. Glagoleva, D. A. Afonnikov

“…The current version of the package implements the following methods: construction of a confidence interval of an arbitrary level for the difference of sample averages; verification of the similarity of intensity distributions of spectral lines for two sets of hyperspectral images on the basis of the Mann–Whitney U-criterion and Pearson’s criterion of agreement; visualization in two-dimensional space using dimensionality reduction methods PCA, ISOMAP and UMAP; classification using linear or ridge regression, random forest and catboost; clustering of samples using the EM-algorithm. …”
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Application of existing algorithms for classification and clustering of laser reflection points (k-Means, DBSCAN, SVM) to solve territorial planning problems by D. A. Gura, O. S. Boltovnina

“…A brief review of existing algorithms used for clustering images obtained by laser scanning has been carried out. …”
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