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Multi-class Classification of Retinal Eye Diseases from Ophthalmoscopy Images Using Transfer Learning-Based Vision Transformers.
J Imaging Inform Med
January 2025
College of Engineering, Department of Computer Engineering, Koç University, Rumelifeneri Yolu, 34450, Sarıyer, Istanbul, Turkey.
This study explores a transfer learning approach with vision transformers (ViTs) and convolutional neural networks (CNNs) for classifying retinal diseases, specifically diabetic retinopathy, glaucoma, and cataracts, from ophthalmoscopy images. Using a balanced subset of 4217 images and ophthalmology-specific pretrained ViT backbones, this method demonstrates significant improvements in classification accuracy, offering potential for broader applications in medical imaging. Glaucoma, diabetic retinopathy, and cataracts are common eye diseases that can cause vision loss if not treated.
View Article and Find Full Text PDF[Molecularly defined renal cell carcinomas].
Pathologie (Heidelb)
January 2025
Institut für Pathologie, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Krankenhausstraße 8-10, 91054, Erlangen, Deutschland.
Background: The latest edition of the WHO classification of urinary and male genital tumours was published in 2022. The revision was based on the newest scientific literature. This article summarizes the updated recommendations regarding the classification of molecularly defined tumours.
View Article and Find Full Text PDFAspect category sentiment analysis based on pre-trained BiLSTM and syntax-aware graph attention network.
Sci Rep
January 2025
Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE, Minzu University of China, Beijing, 100081, China.
Aspect Category Sentiment Analysis (ACSA) is a fine-grained sentiment analysis task aimed at predicting the sentiment polarity associated with aspect categories within a sentence.Most existing ACSA methods are based on a given aspect category to locate sentiment words related to it. When irrelevant sentiment words have semantic meaning for the given aspect category, it may cause the problem that sentiment words cannot be matched with aspect categories.
View Article and Find Full Text PDFHybrid clustering strategies for effective oversampling and undersampling in multiclass classification.
Sci Rep
January 2025
Department of Industrial Engineering, Sharif University of Technology, Azadi Ave., Tehran, 1458889694, Iran.
Multiclass imbalance is a challenging problem in real-world datasets, where certain classes may have a low number of samples because they correspond to rare occurrences. To address the challenge of multiclass imbalance, this paper introduces a novel hybrid cluster-based oversampling and undersampling (HCBOU) technique. By clustering and separating classes into majority and minority categories, this algorithm retains the most information during undersampling while generating efficient data in the minority class.
View Article and Find Full Text PDFCorrelation between maxillary defect and facial asymmetry.
Int J Oral Maxillofac Surg
January 2025
Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing, China; National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing, China; National Clinical Research Center for Oral Diseases, Beijing, China. Electronic address:
The aim of this study was to evaluate the correlation between maxillary defects and facial asymmetry, and to establish categories for visual perception of facial asymmetry. The facial data of 47 patients who underwent maxillary resection due to tumors were captured using stereophotogrammetry. Facial asymmetry was measured using a landmark-independent method and assessed with a Likert scale.
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