Adjunctive diagnostic tool for histopathological classification of congenital mesoblastic nephroma based in molecular genetic findings by Hiroshi Hamada, Kenichi Kohashi, Takeshi Iwasaki, Mikiko Hashisako, Yuko Hino, Masahiro Fukuhara, Amane Kamouchi, Naonori Kawakubo, Tatsuro Tajiri, Yoshinao Oda

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Focal Nodular Hyperplasia and Hepatocellular Adenoma around the World Viewed through the Scope of the Immunopathological Classification by Charles Balabaud, Wesal R. Al-Rabih, Pei-Jer Chen, Kimberley Evason, Linda Ferrell, Juan C. Hernandez-Prera, Shiu-Feng Huang, Thomas Longerich, Young Nyun Park, Alberto Quaglia, Peter Schirmacher, Christine Sempoux, Swan N. Thung, Michael Torbenson, Aileen Wee, Matthew M. Yeh, Shiou-Hwei Yeh, Brigitte Le Bail, Jessica Zucman-Rossi, Paulette Bioulac-Sage

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Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning by Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar

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Postoperative symptom changes following uterine artery embolization for uterine fibroid based on FIGO classification by Yoshimi Nozaki, Shiori Takeuchi, Masafumi Arai, Yoshiki Kuwatsuru, Hiroshi Toei, Shingo Okada, Hitomi Kato, Naoko Saito, Takamichi Nobushima, Keisuke Murakami, Mari Kitade, Ryohei Kuwatsuru

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A multi-stage deep learning network toward multi-classification of polyps in colorectal images by Shilong Chang, Kun Yang, Yucheng Wang, Yufeng Sun, Chaoyi Qi, Wenlong Fan, Ying Zhang, Shuang Liu, Wenshan Gao, Jie Meng, Linyan Xue

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Myocardial Infarction-Associated Shock: A Comprehensive Analysis of Phenotypes, SCAI Classification, and Outcome Assessment by Stanislav Dil, Maria Kercheva, Oleg Panteleev, Sergey Demianov, Aleksandr Kanev, Nina Belich, Boris Kornienko, Vyacheslav Ryabov

“…The data were analyzed using the SCAI shock classification. Logistic regression analysis was employed to identify predictors of mortality and improved survival outcomes. …”
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Automatic etiological classification of stroke thrombus digital photographs using a deep learning model by Álvaro Lucero-Garófano, Álvaro Lucero-Garófano, Alicia Aliena-Valero, Isabel Vielba-Gómez, Isabel Vielba-Gómez, Irene Escudero-Martínez, Irene Escudero-Martínez, Lluís Morales-Caba, Lluís Morales-Caba, Fernando Aparici-Robles, Fernando Aparici-Robles, Diana L. Tarruella Hernández, Diana L. Tarruella Hernández, Gerardo Fortea, Gerardo Fortea, José I. Tembl, José I. Tembl, Juan B. Salom, Juan B. Salom, José V. Manjón

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Évaluation des méthodes de classifications dirigées (spectrale et orientée objet) sur les images satellitaires à THRS by Patrice N’guessan Akoguhi, Hyppolite N’da Dibi, Marc Houin Godo, Germain Miessan Adja, Fernand Koffi Kouamé

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Examining transaction-specific satisfaction and trust in Airbnb and hotels. An application of BERTopic and Zero-shot text classification by Manuel Rey-Moreno, Manuel Jesús Sánchez-Franco, María De la Sierra Rey-Tienda

“…Our study processes unstructured, natural-language data about Airbnb and hotel stays (the final dataset was 12,236 Airbnb sentences and 12,200 hotel sentences from 2018 until September 25 2021). …”
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Classification Of Prospective Scholarship Recipients Kartu Indonesia Pintar (KIP) With Decision Tree Algorithm And Naïve Bayes by Asnimar, Andani Achmad, Yuyun, Akbar Iskandar, Mansyur

“…Based on the results of the classification of the decision tree algorithm with the confusion matrix, the accuracy value is 44.12 % and the F1-Score is 34.48 %. …”
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Retraction Note: Multiclass skin lesion classification using deep learning networks optimal information fusion by Muhammad Attique Khan, Ameer Hamza, Mohammad Shabaz, Seifeine Kadry, Saddaf Rubab, Muhammad Abdullah Bilal, Muhammad Naeem Akbar, Suresh Manic Kesavan

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M2Caps: learning multi-modal capsules of optical and SAR images for land cover classification by Haodi Zhang, Anzhu Yu, Kuiliang Gao, Xuanbei Lu, Xuefeng Cao, Wenyue Guo, Weiqi Lian

“…Land cover classification (LCC) is essential for monitoring land use and changes. …”
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Convolution neural network algorithm-based fouling organisms classification model of seawater circulation cooling system by ZHANG Yi

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Integrating fault detection and classification in microgrids using supervised machine learning considering fault resistance uncertainty by Morteza Barkhi, Javad Pourhossein, Seyed Ali Hosseini

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Deep learning-based classification of gallbladder lesions in patients with non-diagnostic (GB-RADS 0) ultrasound by Pankaj Gupta, Ruby Siddiqui, Thakur D. Yadav, Lileswar Kaman, Gaurav Prakash, Parikshaa Gupta, Uma N. Saikia, Usha Dutta

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Comparison of risk factors and maternal outcomes in placenta previa: Assessing the impact of the revised classification in the Indian context by Tanvi Gupta, Vinita Udupa, Hilda Grace Yenuberi, Swati Rathore, Thenmozhi Mani

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Automated orthodontic diagnosis via self-supervised learning and multi-attribute classification using lateral cephalograms by Qiao Chang, Yuxing Bai, Shaofeng Wang, Fan Wang, Shuang Liang, Xianju Xie

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Regression-Based Classification of the Middle-Latency Auditory-Evoked Potentials in Vestibular Migraine and Concussion Patients with Dizziness by Carolina Beppi, Daniel Agostino, Antonella Palla, Nina Feddermann-Demont, Julia Dlugaiczyk, Dominik Straumann

“…Methods: Twenty-three healthy individuals, 12 concussion and 26 VM patients were recruited. …”
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RETRACTED ARTICLE: Multiclass skin lesion classification using deep learning networks optimal information fusion by Muhammad Attique Khan, Ameer Hamza, Mohammad Shabaz, Seifeine Kadry, Saddaf Rubab, Muhammad Abdullah Bilal, Muhammad Naeem Akbar, Suresh Manic Kesavan

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Enhancing heart disease classification based on greylag goose optimization algorithm and long short-term memory by Ahmed M. Elshewey, Amira Hassan Abed, Doaa Sami Khafaga, Amel Ali Alhussan, Marwa M. Eid, El-Sayed M. El-kenawy

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