Correction: Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancer by Jing Yang, Huifen Ye, Xinjuan Fan, Yajun Li, Xiaomei Wu, Minning Zhao, Qingru Hu, Yunrui Ye, Lin Wu, Zhenhui Li, Xueli Zhang, Changhong Liang, Yingyi Wang, Yao Xu, Qian Li, Su Yao, Dingyun You, Ke Zhao, Zaiyi Liu

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Multivendor Spectral-Domain Optical Coherence Tomography Dataset, Observer Annotation Performance Evaluation, and Standardized Evaluation Framework for Intraretinal Cystoid Fluid S... by Jing Wu, Ana-Maria Philip, Dominika Podkowinski, Bianca S. Gerendas, Georg Langs, Christian Simader, Sebastian M. Waldstein, Ursula M. Schmidt-Erfurth

“…Development of image analysis and machine learning methods for segmentation of clinically significant pathology in retinal spectral-domain optical coherence tomography (SD-OCT), used in disease detection and prediction, is limited due to the availability of expertly annotated reference data. …”
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Algorithms for Cytoplasm Segmentation of Fluorescence Labelled Cells by Carolina Wählby, Joakim Lindblad, Mikael Vondrus, Ewert Bengtsson, Lennart Björkesten

“…A new combination of image analysis algorithms for segmentation of cells imaged by fluorescence microscopy is presented. …”
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Automated Classification of Glandular Tissue by Statistical Proximity Sampling by Jimmy C. Azar, Martin Simonsson, Ewert Bengtsson, Anders Hast

“…The proposed method may be used for glandular classification, also in other tissue types, in addition to general applicability as a region-based feature descriptor in image analysis where the image represents a bag with a certain label (or grade) and the region-based feature vectors represent instances.…”
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Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancer by Jing Yang, Huifen Ye, Xinjuan Fan, Yajun Li, Xiaomei Wu, Minning Zhao, Qingru Hu, Yunrui Ye, Lin Wu, Zhenhui Li, Xueli Zhang, Changhong Liang, Yingyi Wang, Yao Xu, Qian Li, Su Yao, Dingyun You, Ke Zhao, Zaiyi Liu

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Automated and Reproducible Detection of Vascular Endothelial Growth Factor (VEGF) in Renal Tissue Sections by Nayana Damiani Macedo, Aline Rodrigues Buzin, Isabela Bastos de Araujo, Breno Valentim Nogueira, Tadeu Uggere Andrade, Denise Coutinho Endringer, Dominik Lenz

“…Manual analysis of tissue sections, such as for pathological diagnosis, requires an analyst with substantial knowledge and experience. Reproducible image analysis of biological samples is steadily gaining scientific importance. …”
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Applications of Robust Methods in Spatial Analysis by Selvakkadunko Selvaratnam

“…The proposed method can be extended for future works of image analysis which includes 3 dimensional image analysis.…”
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Approaches for the measurement of lateral dimensions of graphene oxide flakes using scanning electron microscopy by Giovanni Chemello, Konstantinos Despotelis, Keith R Paton, Charles A Clifford, Andrew J Pollard, Jörg Radnik, Vasile-Dan Hodoroaba

“…A measurement procedure for Scanning Electron Microscopy (SEM) including sample preparation, measurement, image analysis and reporting was developed and validated to be applied for the lateral size analysis of ‘real-world’ 2D flakes. …”
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AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology by Yingnan Zhao, Huifen Ye, Jing Yang, Su Yao, Maohua Lv, Zhihong Chen, Yunrui Ye, Qingru Hu, Cheng Lu, Zaiyi Liu, Ke Zhao, Zhihua Chen

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An Overview of the Topological Gradient Approach in Image Processing: Advantages and Inconveniences by Lamia Jaafar Belaid

“…Image analysis by topological gradient approach is a technique based upon the historic application of the topological asymptotic expansion to crack localization problem from boundary measurements. …”
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Dialogues théoriques autour de l’émergence du sens linguistique et visuel by Séverine Letalleur-Sommer

“…This paper proposes to show how various epistemological tools used in linguistics can apply to image analysis and vice-versa. It is well known that when examining cleft sentences, visual notions such as that of focus, framing, saliency, foreground and background for instance may prove useful. …”
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Quantitative Fraction Evaluation of Dermal Collagen and Elastic Fibres in the Skin Samples Obtained in Two Orientations from the Trunk Region by Naveen Kumar, Pramod Kumar, Satheesha Nayak Badagabettu, Keerthana Prasad, Ranjini Kudva, Coimbatore Vasudevarao Raghuveer

“…Total number of 200 skin samples collected from 5 areas of trunk region were processed histologically and subjected to tissue-quant image analysis. Statistical analysis involving mean with SEM and paired t test by SPSS were employed to the percentage values obtained from image analysis. …”
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Estimating the Asphalt Binder Film Thickness Using Scanning Electron Microscope and Energy Dispersive X-Ray Spectroscopy by Fazli Karim, Jawad Hussain, Imran Hafeez

“…The image analysis showed that the asphalt mixtures mostly contain asphalt mortar and asphalt mastic, occurring in irregular shape. …”
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Instance-level semantic segmentation of nuclei based on multimodal structure encoding by Bo Guan, Guangdi Chu, Ziying Wang, Jianmin Li, Bo Yi

“…Abstract Background Accurate segmentation and classification of cell nuclei are crucial for histopathological image analysis. However, existing deep neural network-based methods often struggle to capture complex morphological features and global spatial distributions of cell nuclei due to their reliance on local receptive fields. …”
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Effect of Metakaolin on Strength and Efflorescence Quantity of Cement-Based Composites by Tsai-Lung Weng, Wei-Ting Lin, An Cheng

“…The quantity of efflorescence determined using MATLAB image analysis is close to the result obtained using the curettage method. …”
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Combined nanoindentation and SEM imaging for phase quantification and creep prediction of cementitious materials by Imane Bekrine, Benoit Hilloulin, Ahmed Loukili

“…The present article introduces a novel and rapid method for processing nanoindentation data using SEM image analysis, called Auto-NI-SEM (Automatic NanoIndentation-Scanning Electron Microscopy). …”
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Advancement of emerging technologies for non-destructive measurement of water and non-aqueous phase liquid saturation in porous media: A review by Kapil Kumar, Harris Ramli

“…It highlights the Simplified Image Analysis Method (SIAM) for its accuracy and user-friendliness. …”
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Research on multi-source microstructure image recognition of foam ceramics using convolutional network combine with frequency domain by Yi Yin, Jianwei Pan, Fang Wang, Peihang Li, Zhen Cai, Xin Xu

“…However, their complex microstructure presents significant challenges for image analysis. Traditional machine learning methods often fall short in capturing both global feature dependencies and detailed representations. …”
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Early Detection of Pancreatic Cancer: Opportunities Provided by Cancer-induced Paraneoplastic Phenomena and Artificial Intelligence by Wei-Chih Liao

“…Conclusion: Novel blood-based biomarkers and AI-augmented image analysis may be complementary and hold promise for the early detection of PDAC.…”
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Evaluation of the Risk of Recurrence in Patients with Local Advanced Rectal Tumours by Different Radiomic Analysis Approaches by Alaa Khadidos, Adil Khadidos, Olfat M. Mirza, Tawfiq Hasanin, Wegayehu Enbeyle, Abdulsattar Abdullah Hamad

“…In this study, we evaluated and compared six conventional learning models and a deep learning model, based on MRI textural analysis of patients with locally advanced rectal tumours, correlated with the risk of recidivism; in traditional learning, we compared 2D image analysis models vs. 3D image analysis models, models based on a textural analysis of the tumour versus models taking into account the peritumoural environment in addition to the tumour itself. …”
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