Convolutional Neural Network-Based Model to Differentiate Distal Ureteral Stones, Vascular Calcification, and Normal Cases

Просмотр новости

Найдите то, что Вас интересует

Convolutional Neural Network-Based Model to Differentiate Distal Ureteral Stones, Vascular Calcification, and Normal Cases

Дата публикации: 17-07-2026 11:56:56

An article created on 2026-07-17 11:56:56

Схожие новости

#	Наименование новости	Тональность	Информативность	Дата публикации
1	Multicenter Clinical Validation of a Deep Learning Model for Automated Diagnosis and Classification of Aortic Dissection	5	7	16-07-2026
2	Predictive Factors of Failed Semi-Rigid and Flexible Ureteroscopy in the Treatment of Urinary Lithiasis	0	5	15-07-2026
3	From Arid South to Temperate North: An FTIR-Based Analysis of the Impact of Environment and Ethnicity on Renal Stone Composition in Iraq	0	5	17-07-2026
4	An Agent-Based Concept Generation ApproachUsing Concept Bottleneck Models for ChestRadiograph Classification	0	5	17-07-2026
5	Predicting Visual Acuity from Fundus Photographs Using a Domain-Pretrained Vision Transformer: Anatomical Alignment of Attention Patterns	0	5	17-07-2026
6	Automated Arrhythmia Detection from ECG Signals: AComparative Study of Bidirectional Long Short-Term MemoryNetworks and Residual Convolutional Neural Networks	0	5	16-07-2026
7	Beyond Accuracy: A Comprehensive Evaluation of ResNet50 and Vision Transformer for Trustworthy Pneumonia Detection from Chest X-Ray Images	0	5	16-07-2026
8	A Novel AJAD-BoostNet Framework for Histopathological Lung and Cervical Cancer Classification Using Deep Feature Learning, K-Means Clustering, and XGBoost	0	5	16-07-2026
9	Physics-Informed Federated Learning for Decentralized Pharmaceutical Crystallization: Achieving Personalized Predictive Accuracy with Minimal Data	6	8	17-07-2026
10	Noninvasive Assessment of Arterial Compliance and Lumen Pressure in Human Carotid Arteries Using Physics-Informed Neural Networks and Ultrasound Imaging: A Clinical Feasibility Study	0	7	16-07-2026

Классификация: Наука. Схожих патентов: 0. Схожих новостей: 10. Тональность: 0. Информативность: 5. Источник: www.researchsquare.com.