EduDCM: A Novel Framework for Automatic Educational Dialogue Classification Dataset Construction via Distant Supervision and Large Language Models by Changyong Qi, Longwei Zheng, Yuang Wei, Haoxin Xu, Peiji Chen, Xiaoqing Gu

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An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

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Classification of Coconut Trees Within Plantations from UAV Images Using Deep Learning with Faster R-CNN and Mask R-CNN by Morakot Worachairungreung, Nayot Kulpanich, Pornperm Sae-ngow, Kunyaphat Thanakunwutthirot, Kawinphop Anurak, Phonpat Hemwan

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Deep learning classification of MGMT status of glioblastomas using multiparametric MRI with a novel domain knowledge augmented mask fusion approach by İlker Özgür Koska, Çağan Koska

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MRI findings in patients with psychogenic non‐epileptic seizures: Prevalence, distribution, and classification of the findings. A single tertiary epilepsy center experience by Aleix Jareno‐Badenas, Mario Matute‐González, Luis Pintor, Estefanía Conde‐Blanco, Mar Carreño, Xavier Setoain, Camilo Pineda, Fernando Diego Choque‐Chávez, Tomás Fernández, Núria Bargalló, Sofía González‐Ortiz

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SAlexNet: Superimposed AlexNet using residual attention mechanism for accurate and efficient automatic primary brain tumor detection and classification by Qurat-ul-ain Chaudhary, Shahzad Ahmad Qureshi, Touseef Sadiq, Anila Usman, Ambreen Khawar, Syed Taimoor Hussain Shah, Aziz ul Rehman

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Characteristics That Predict Psoriatic Arthritis by the Classification Criteria for Psoriatic Arthritis in Patients With Juvenile Idiopathic Arthritis 18 Years After Disease Onset by Agnes Szentpetery, Mia Glerup, Kristiina Aalto, Ellen D. Arnstad, Anders Fasth, Troels Herlin, Charlotte Myrup, Ellen Nordal, Suvi Peltoniemi, Marite Rygg, Veronika Gjertsen Rypdal, Lillemor Berntson

“…Objective The purposes of this study were to assess the clinical characteristics of patients with juvenile idiopathic arthritis (JIA) who fulfill the ClASsification criteria for Psoriatic ARthritis (CASPAR) 18 years after disease onset in a population‐based setting and to identify features likely to predict psoriatic arthritis (PsA). …”
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Risk assessment and hierarchical classification of foodborne disease epidemics during major events in Beijing: an empirical study based on surveillance data analysis by Jinru JIANG, Yangbo WU, Tongyu WANG, Chao WANG, Yanlin NIU, Di WANG, Liping LI, Qian CHEN, Yao ZHAO, Xiaochen MA

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Performance of the modified 2022 ACR/EULAR giant cell arteritis classification criteria without age restriction for discriminating from Takayasu arteritis by Takahiko Sugihara, Masayoshi Harigai, Haruhito A. Uchida, Hajime Yoshifuji, Yasuhiro Maejima, Jun Ishizaki, Yoshiko Watanabe, Hiroaki Dobashi, Yoshinori Komagata, Naoto Tamura, Yoshikazu Nakaoka, Japan Research Committee of the Ministry of Health, Labour, and Welfare for Intractable Vasculitis (JPVAS)

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Retinopathy Disease Detection and Classification Using a Coordinate Attention Module-Based Convolutional Neural Network with Leaky Rectified Linear Unit by Pravin Balaso Chopade, Prabhakar N. Kota, Bhagvat D. Jadhav, Pravin Marotrao Ghate, Shriram Sadashiv Kulkarni

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A Nomogram Based on Apelin-12 for the Prediction of Major Adverse Cardiovascular Events after Percutaneous Coronary Intervention among Patients with ST-Segment Elevation Myocardial... by Enfa Zhao, Hang Xie, Yushun Zhang

“…The performance of the nomogram was evaluated by the discrimination, calibration, and clinical usefulness. Results. Apelin-12 change rate, apelin-12 level, age, pathological Q wave, myocardial infarction history, anterior wall myocardial infarction, Killip’s classification > I, uric acid, total cholesterol, cTnI, and the left atrial diameter were independently associated with MACEs (all P<0.05). …”
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Les types de climats annuels au Brésil : une application de la classification de Köppen de 1961 à 2015 by Vincent Dubreuil, Karime Pechutti Fante, Olivier Planchon, João Lima Sant'anna Neto

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Impacted lower third molar classification and difficulty index assessment: comparisons among dental students, general practitioners and deep learning model assistance by Paniti Achararit, Chawan Manaspon, Chavin Jongwannasiri, Promphakkon Kulthanaamondhita, Chumpot Itthichaisri, Soranun Chantarangsu, Thanaphum Osathanon, Ekarat Phattarataratip, Kraisorn Sappayatosok

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Diagnostic classification in toxicologic pathology using attention-guided weak supervision and whole slide image features: a pilot study in rat livers by Philip Zehnder, Jeffrey Feng, Trung Nguyen, Philip Shen, Ruth Sullivan, Reina N. Fuji, Fangyao Hu

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Combination ATR-FTIR with Multiple Classification Algorithms for Authentication of the Four Medicinal Plants from <i>Curcuma</i> L. in Rhizomes and Tuberous Roots by Qiuyi Wen, Wenlong Wei, Yun Li, Dan Chen, Jianqing Zhang, Zhenwei Li, De-an Guo

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A cascading decision system for enhanced anomaly classification of large-scale photovoltaic systems using Drone's thermal data with class-imbalance problem by Zoubir Barraz, Imane Sebari, Nassim Lamrini, Kenza Ait El Kadi, Ibtihal Ait Abdelmoula

“…In this context, we propose a Cascading Decision System (CDS) that enhances anomaly detection in thermal images through a multi-step approach: initial binary classification, intermediate reclassification, and final multiclass classification. …”
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An automated privacy-preserving self-supervised classification of COVID-19 from lung CT scan images minimizing the requirements of large data annotation by Sadia Sultana Chowa, Md Rahad Islam Bhuiyan, Mst. Sazia Tahosin, Asif Karim, Sidratul Montaha, Md. Mehedi Hassan, Mohd Asif Shah, Sami Azam

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Toward an Integrated Clinical, Molecular and Serological Classification of Inflammatory Bowel Disease: Report of a Working Party of the 2005 Montreal World Congress of Gastroentero... by Mark S Silverberg, Jack Satsangi, Tariq Ahmad, Ian DR Arnott, Charles N Bernstein, Steven R Brant, Renzo Caprilli, Jean-Frédéric Colombel, Christoph Gasche, Karel Geboes, Derek P Jewell, Amir Karban, Edward V Loftus, A Salvador Peña, Robert H Riddell, David B Sachar, Stefan Schreiber, A Hillary Steinhart, Stephan R Targan, Severine Vermeire, Bryan F Warren

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Phylogenetic taxon definitions for Fungi, Dikarya, Ascomycota and Basidiomycota by David S. Hibbett, Meredith Blackwell, Timothy Y. James, Joseph W. Spatafora, John W. Taylor, Rytas Vilgalys

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Current concepts of chronic gastritis and gastropathies: new international consensus RE.GA.IN by S.M. Tkach, N.V. Kharchenko, A.E. Dorofieiev, Yu.Z. Hurkalo, L.M. Ryzhiy

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