Enhancing semi‐supervised contrastive learning through saliency map for diabetic retinopathy grading by Jiacheng Zhang, Rong Jin, Wenqiang Liu

“…Abstract Diabetic retinopathy (DR) is a severe ophthalmic condition that can lead to blindness if not diagnosed and provided timely treatment. Hence, the development of efficient automated DR grading systems is crucial for early screening and treatment. …”
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Cloud-based database framework of corrosion detecting and grading for temporary steel pipe supports by Ali Akbar, Goeun Choi, James Mugo Njoroge, Soonwook Kwon

“…These analytical capabilities are integrated into a unified web server, which combines web development technologies with equipment analysis results. …”
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Fire Hazard Risk Grading of Timber Architectural Complexes Based on Fire Spreading Characteristics by Chong Wang, Zhigang Song, Jian Zhang, Lijiao Liu, Feiyang Zheng, Siqi Cao

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Validating and updating GRASP: An evidence-based framework for grading and assessment of clinical predictive tools by Mohamed Khalifa, Farah Magrabi, Blanca Gallego

“…Background: When selecting clinical predictive tools, clinicians are challenged with an overwhelming and ever-growing number, most of which have never been implemented or evaluated for effectiveness. The authors developed an evidence-based framework for grading and assessment of predictive tools (GRASP). …”
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Promises and breakages of automated grading systems: a qualitative study in computer science education by Clàudia Figueras, Alexandra Farazouli, Teresa Cerratto Pargman, Cormac McGrath, Chiara Rossitto

“…Automated grading systems (AGSs) have gained attention for their potential to streamline assessment in higher education. …”
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Grading Traditional Exams Using Image Processing Techniques and the Word Similarity Weights Algorithm by Yahya Gedik, Serdar Solak, Mustafa Hikmet Bilgehan Uçar

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Field Grading of Longan SSC via Vis-NIR and Improved BP Neural Network by Jun Li, Meiqi Zhang, Kaixuan Wu, Hengxu Chen, Zhe Ma, Juan Xia, Guangwen Huang

“…This study proposes a novel field detection model (Brix-back propagation neural network, Brix-BPNN), designed for longan SSC grading based on an improved BP neural network. Initially, nine preprocessing methods were combined with six classification algorithms to develop the longan SSC grading prediction model. …”
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Derivation of a CT Angiography-Based Arch Atherosclerosis Grading in Cryptogenic Ischemic Stroke by Ankur Wadhwa, Ravinder-Jeet Singh, Mohammed Almekhlafi, Bijoy K Menon, Poornima N Nambiar, Arun Kathuveetil, Santhosh Kannath, Manik Chhabra, PN Sylaja, Andrew M Demchuk, Simerpreet Bal

“…Methods: A systematic literature review was conducted to develop a computed tomography (CT)-based AAAthero grading system. …”
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Damage analysis and grading control technology of surrounding rock in high geo-stress roadway by Liu Chongyan, Zhao Guangming, Pan Cheng, Meng Xiangrui, Xu Wensong, Liu Wenjie

“…Abstract To investigate the failure mechanism and establish stability control methods for surrounding rock in high geo-stress roadways, this study incorporated the brittle failure characteristics of the surrounding rock mass into a unified strength criterion, developing an elastic-plastic theoretical model to represent rock damage and fracture. …”
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Modification of the nuclear pleomorphism score in the Modified Bloom-Richardson grading for invasive breast cancer. by Azam Hilmi Mohd Zain, Seoparjoo Azmel Mohd Isa, Nur Asyilla Che Jalil, Suhaily Mohd Hairon, Syed Sana Abrar

“…Descriptive statistics and normality tests assessed differences in LNS and NSD across original nuclear grades.<h4>Results</h4>Significant differences were found in LNS and NSD across original nuclear grades (p < 0.05), with fair to moderate agreement between the modified grading system and pathologist assessments (Kappa = 0.367).…”
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Grading Algorithm for Orah Sorting Line Based on Improved ShuffleNet V2 by Yifan Bu, Hao Liu, Hongda Li, Bryan Gilbert Murengami, Xingwang Wang, Xueyong Chen

“…As a result, the ShuffleNet_wogan model was developed. Based on the operational principles of the sorting line, a time-sequential grading algorithm was designed to improve grading accuracy, along with a multi-sampling diameter algorithm for simultaneous Orah diameter measurement. …”
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Deep learning approach for automated ‘Kent’ mango maturity grading in compliance with Peruvian standards by Orlando Salazar-Campos, Javier Moran Ruiz, José Luis Peralta, Mirian Rubio Cieza, Breysi Salazar Medina, Johonathan Salazar-Campos

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Design of an intelligent grading system for college English translation based on big data technology by Xiaoyan Li, Chengzhou Huang

“…The study focuses on the intersection of literature and English language teaching, aiming to enhance the accuracy and efficiency of grading translation assignments. Methods: The deep learning methodology is the core approach for developing the intelligent grading system. …”
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Artificial intelligence use in diagnosis, grading, and segmentation of neuro-oncology: a narrative review by Adham Al-Rahbi, Tariq Al-Habsi, Abir Al-Suli, Tariq Al-Saadi

“…We still need more research applying AI in brain tumors to aid in developing new therapeutic targets and a better understanding of brain tumors.…”
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Lesion classification and diabetic retinopathy grading by integrating softmax and pooling operators into vision transformer by Chong Liu, Weiguang Wang, Jian Lian, Wanzhen Jiao

“…IntroductionDiabetic retinopathy grading plays a vital role in the diagnosis and treatment of patients. …”
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Establishment of an evaluation system for conversion to laparotomy in laparoscopic cholecystectomy and exploration of surgical grading management by ZHANG Nannan, GUO Jinxing, WU Gang, YI Hui, ZHOU Yuanhang, LIAO Zhiwei, HUANG Qi, DONG Jian

“…Objective To develop and validate a scoring system to predict the possibility of laparoscopic cholecystectomy (LC) conversion to laparotomy based on preoperative clinical data, and to establish a grading management model of surgery. …”
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Lightweight grading segmentation network for powdery mildew based on model pruning and knowledge distillation by Yuheng Li, Lisha Ye, Yu Zhang, Lijuan Zhou, Qian Chen

“…To bridge this gap, this study develops and validates light-PMSeg, a lightweight instance segmentation framework designed for accurate, real-time disease grading. …”
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An interpretable machine learning approach for predicting and grading hip osteoarthritis using gait analysis by Qing Yang, Xinyu Ji, Yuyan Zhang, Shaoyi Du, Bing Ji, Wei Zeng

“…Results Using a cross-validation scheme of 10-fold, the classification accuracy achieves 98.21% for hip OA detection (HCs vs hip OA patients) and 89.65% (HCs vs Grade2/3 vs Grade 4) and 87.54% (HCs vs Grade2 vs Grade 3 vs Grade 4) for severity rating. …”
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Prediction of genetic status and grading in glioma based on fusion of macro⁃ and micro⁃imaging features by LI Zhen, SONG Peng⁃fei, ZHU Rui⁃ze, JIANG Shan, CAO Shi⁃wen, YU Jin⁃hua, SHI Zhi⁃feng

“…Objective To develop a dual⁃layer feature distillation multiple instance learning (DLFD⁃ MIL) model integrating MRI and whole slide image (WSI) features for precise prediction of IDH1 mutation, 1p/19q codeletion, and World Health Organization (WHO) grading in adult⁃type diffuse gliomas. …”
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Role of Inflammation and Motility Disorders in the Development, Course and Consequences of Functional Gastrointestinal and Biliary Tract Diseases (Literature Review and Expert Pane... by V. T. Ivashkin, D. S. Bordin, T. L. Lapina, M. A. Livzan, A. V. Okhlobystin, E. A. Poluektova, A. S. Trukhmanov, Yu. P. Uspenskiy, Yu. O. Shulpekova

“…In the development in the content of visceral hypersensitivity, the functional connection between mastocytes and TRPV1-positive sensory endings of the vagus nerve is of great importance. …”
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