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| http://dx.doi.org/10.1007/s00259-021-05490-1 | DOI Listing |
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Automated spinopelvic measurements on radiographs with artificial intelligence: a multi-reader study.
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January 2025
Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Purpose: To develop an artificial intelligence (AI) algorithm for automated measurements of spinopelvic parameters on lateral radiographs and compare its performance to multiple experienced radiologists and surgeons.
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Ethanol and the Limitations of the Osmol Gap.
Ann Emerg Med
January 2025
Division of Medical Toxicology, University of Pittsburgh School of Medicine, Pittsburgh, PA.
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School of Food and Pharmacy, Zhejiang Ocean University, Zhoushan, 316022, People's Republic of China.
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View Article and Find Full Text PDFColorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach.
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Ministry of Higher Education, Mataria Technical College, Cairo, 11718, Egypt.
The current work introduces the hybrid ensemble framework for the detection and segmentation of colorectal cancer. This framework will incorporate both supervised classification and unsupervised clustering methods to present more understandable and accurate diagnostic results. The method entails several steps with CNN models: ADa-22 and AD-22, transformer networks, and an SVM classifier, all inbuilt.
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