Utilization of bark extract of Phyllanthus emblica as a sustainable corrosion inhibitor to reinforced concrete infrastructures in aggressive environments by Gautam Madhab, Subedi Dhruba B., Dhungana Jivan R., Bhattarai Nootan P., Bhattarai Jagadeesh

“…., normal, industrial and marine). Optical image analysis of the ReMS supported the electrochemical findings. …”
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Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

“…Methods: We demonstrated the use of deep learning models in CE image analysis, specifically by piloting a bowel preparation model (BPM) and an abnormality detection model (ADM) to determine frame-level view quality and the presence of abnormal findings, respectively. …”
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AI-Enhanced Design and Application of High School Geography Field Studies in China: A Case Study of the Yellow (Bohai) Sea Migratory Bird Habitat Curriculum by Binglin Liu, Weijia Zeng, Weijiang Liu, Yi Peng, Nini Yao

“…The course content revolves around the “human–land coordination concept”, including pre-trip thinking, research and study during the trip, and post-trip exhibition learning, covering regional cognition, remote sensing image analysis, field investigation, and protection plan display activities. …”
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Protocol to study the role of medial entorhinal cortex-basolateral amygdala circuit in context-induced retrieval of morphine withdrawal memory in mice by Yali Fu, Ting Ye, Ming Chen, Bin Lai, Ping Zheng

“…Then, we detail procedures of immunofluorescence staining and image analysis.For complete details on the use and execution of this protocol, please refer to Fu et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.…”
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Benthic algal community dynamics on Palmyra Atoll throughout a decade with two thermal anomalies by Adi Khen, Maggie D. Johnson, Michael D. Fox, Jennifer E. Smith

“…We quantified the percent cover of algal taxa via image analysis of permanent benthic photoquadrats from two habitats on Palmyra: the deeper, wave-exposed fore reef (10 m depth) and the shallower, wave-sheltered reef terrace (5 m depth). …”
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Application of sacrificial coatings and effect of composition on Al-Al3Ni ultrafine eutectic formation by Čelko L., Klakurková L., Smetana B., Slámečka K., Žaludová M., Hui D., Švejcar J.

“…The formation processes and resultant microstructures were studied by means of differential thermal analysis, metallography, scanning electron microscopy, energy dispersive microanalysis, and image analysis techniques.…”
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Optical Coherence Tomography Angiography of Macular Perfusion Changes after Anti-VEGF Therapy for Diabetic Macular Edema: A Systematic Review by Ayman G. Elnahry, Gehad A. Elnahry

“…This could have been due to differences in study design, inclusion criteria, type of anti-VEGF agents used, treatment duration, and methods of image analysis and vascular density quantification. All identified studies were noncomparative case series, and 14 of them (87.5%) used the RTVue XR Avanti OCTA machine. …”
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Analogue model of rift linkage and inversion with application to the Western Alps by Dall’Asta, Nicolas, Denèle, Yoann, Regard, Vincent, Frayssignes, Anne, Hoareau, Guilhem, Leroy, Sylvie, Pires, Thibaut

“…Here we focus on rift/margin linkage domains and their inversion by using analogue models with image analysis to extract the 3D strain field. Extensional models document, depending on the strike-perpendicular offset and the brittle-crust thickness, three types of rift linkage modes: (1) oblique linkage with early T-fault, (2) strongly-oblique linkage with R-fault network and, (3) transfer-linkage with late Y-strike-slip fault. …”
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Robust Classification of Smartphone Captured Handwritten Document Images Using Deep Learning by K. S. Koushik, B. J. Bipin Nair, N. Shobha Rani, Mohammed Javed

“…Document classification is a challenging research problem in Document image analysis, majorly the presence of degradations like low illumination, blur, and shadows. …”
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Fractal dimensions in oral squamous cell carcinoma: A novel diagnostic paradigm by Ramkumar Ravichandran, Nagarathinam Anbu Elangovan, Rajkumar Krishnan, Dominic S, Dinesh Kumar Thayalan, Supriya Ponsingh

“…Furthermore, the combination of fractal image analysis and artificial intelligence may facilitate automated diagnosis of oral squamous cell carcinoma.…”
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Non-target effects of ten essential oils on the egg parasitoid Trichogramma evanescens by van Oudenhove, Louise, Cazier, Aurélie, Fillaud, Marine, Lavoir, Anne-Violette, Fatnassi, Hicham, Perez, Guy, Calcagno, Vincent

“…Specific experimental setups were developed, and data obtained from image analysis were interpreted with phenomenological models fitted with Bayesian inference. …”
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Experimental Investigation on Organic Matter Orientation Characteristics of Terrestrial and Marine Shale in China by Dunqing Liu, Hongkui Ge, Yinhao Shen, Kui Zhang

“…In this study, terrestrial and marine shale samples were collected from three different shale plays in China, and the arrangement characteristics of OM grains in each sample were investigated by SEM (scanning electron microscope) image analysis. The results indicate that OM grains in shale are not evenly distributed in isotropic medium, and their directional alignment is pervasive in both marine and terrestrial shale. …”
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An interpretable framework for inter-observer agreement measurements in TILs scoring on histopathological breast images: A proof-of-principle study. by Abdulkerim Capar, Dursun Ali Ekinci, Mucahit Ertano, M Khalid Khan Niazi, Erva Bengu Balaban, Ibrahim Aloglu, Meryem Dogan, Ziyu Su, Fugen Vardar Aker, Metin Nafi Gurcan

“…The study emphasizes the potential impact of these measures in advancing histopathological image analysis, fostering consensus in TILs scoring, and ultimately improving breast cancer diagnostics and treatment planning. …”
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Bayesian deep learning applied to diabetic retinopathy with uncertainty quantification by Masoud Muhammed Hassan, Halbast Rashid Ismail

“…This research highlights the potential benefits of using Bayesian DL methods in medical image analysis to improve the accuracy and reliability of diagnosing disease and treatment.…”
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Improving UAV Aerial Imagery Detection Method via Superresolution Synergy by Dianwei Wang, Zehao Gao, Jie Fang, Yuanqing Li, Zhijie Xu

“…Unmanned aerial vehicles (UAVs) have emerged as versatile tools across various industries, providing valuable insights through aerial image analysis. However, the efficacy of UAV-deployed image detection systems is often limited by the resolution of captured images and the altitudinal constraints of UAV operations. …”
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Bidimensional Increment Entropy for Texture Analysis: Theoretical Validation and Application to Colon Cancer Images by Muqaddas Abid, Muhammad Suzuri Hitam, Rozniza Ali, Hamed Azami, Anne Humeau-Heurtier

“…In summary, IncrEn_2<i>D</i> emerges as an innovative and potent tool for image analysis and texture characterization, offering superior performance compared to existing bidimensional entropy measures.…”
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Restriction Enzyme Analysis of DNA Methylation in “Condensed” Chromatin of Ha-Ras-Transformed NIH 3T3 Cells by Maria Luiza S. Mello, Ann F. Chambers, Benedicto C. Vidal, Wolfgang Planding, Ulrich Schenck

“…The DNA evaluation was performed by video image analysis in Feulgen‐stained cells previously subjected to treatment with Msp I and Hpa II restriction enzymes, which distinguish between methylated and non‐methylated DNA. …”
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Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy-Based Noninvasive Digital System by Galib Muhammad Shahriar Himel, Md. Masudul Islam, Kh. Abdullah Al-Aff, Shams Ibne Karim, Md. Kabir Uddin Sikder

“…In this research study, we introduce an approach for skin cancer classification using vision transformer, a state-of-the-art deep learning architecture that has demonstrated exceptional performance in diverse image analysis tasks. The study utilizes the HAM10000 dataset; a publicly available dataset comprising 10,015 skin lesion images classified into two categories: benign (6705 images) and malignant (3310 images). …”
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Enhancing unsupervised learning in medical image registration through scale-aware context aggregation by Yuchen Liu, Ling Wang, Xiaolin Ning, Yang Gao, Defeng Wang

“…Summary: Deformable image registration (DIR) is essential for medical image analysis, facilitating the establishment of dense correspondences between images to analyze complex deformations. …”
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Protocol for assessing immune-target cell interactions using a single-cell cytotoxicity assay by Zhihao Wei, Konglan Lin, Min Huang, Shicheng Su, Yiwen Lu

“…We describe steps for isolating and labeling primary NK cells, loading cells onto microwell arrays, monitoring target wells, and image analysis. This protocol facilitates observation of the dynamics of immune-target cell interactions at the single-cell level.For complete details on the use and execution of this protocol, please refer to Li et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.…”
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