Results 11 to 20 of about 6,422,664 (364)
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge [PDF]
Medical Image Anal., 2016 HighlightsA novel objective evaluation framework for nodule detection algorithms using the largest publicly available LIDC‐IDRI data set.The impact of combining individual systems on the detection performance was investigated.The combination of classical
A. Setio +30 more
semanticscholar +1 more source
Automatic detection of cataplexy [PDF]
Sleep Medicine, 2018 Although being the most specific symptom of narcolepsy type 1 (NT1), cataplexy is currently investigated by clinical interview only, with potential diagnostic pitfalls. Our study aimed at testing the accuracy of an automatic video detection of cataplexy in NT1 patients vs.
Bartolini, Ilaria +6 more
openaire +2 more sources
Frontiers in Medicine, 2022 ObjectiveActive abdominal arterial bleeding is an emergency medical condition. Herein, we present our use of this two-stage InterNet model for detection of active abdominal arterial bleeding using emergency DSA imaging.MethodsFirstly, 450 patients who ...
Xiangde Min +7 more
doaj +1 more source
Multimedia tools and applications, 2021 Pneumonia is a life-threatening respiratory lung disease. Children are more prone to be affected by the disease and accurate manual detection is not easy. Generally, chest radiographs are used for the manual detection of pneumonia and expert radiologists
Megha Trivedi, Abhishek Gupta
semanticscholar +1 more source
On automatic prominence detection for German [PDF]
Interspeech 2007, 2007 Perceptual prominence is an important indicator of a word’s and syllable’s lexical, syntactic, semantic and pragmatic status in a discourse. Its automatic annotation would be a valuable enrichment of large databases used in unit selection speech synthesis and speech recognition.
TAMBURINI, FABIO, Wagner P.
openaire +3 more sources
Automatic Detection of Generated Text is Easiest when Humans are Fooled [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 Recent advancements in neural language modelling make it possible to rapidly generate vast amounts of human-sounding text. The capabilities of humans and automatic discriminators to detect machine-generated text have been a large source of research ...
Daphne Ippolito +3 more
semanticscholar +1 more source
Automatic Detection of Machine Generated Text: A Critical Survey [PDF]
International Conference on Computational Linguistics, 2020 Text generative models (TGMs) excel in producing text that matches the style of human language reasonably well. Such TGMs can be misused by adversaries, e.g., by automatically generating fake news and fake product reviews that can look authentic and fool
Ganesh Jawahar +2 more
semanticscholar +1 more source
Automatic Detection of Falls and Fainting [PDF]
J. Univers. Comput. Sci., 2013 Los entornos sanitarios siempre se han considerado un escenario importante en el que aplicar nuevas tecnologías para mejorar las condiciones de los residentes y los empleados, resolver problemas y facilitar la realización de tareas. De esta forma, el uso de sensores basados en la interacción con el movimiento del usuario permite resolver situaciones ...
Juan Enrique Garrido +3 more
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IEEE Access, 2021 Invasive ductal carcinoma (IDC) is the most common type of breast cancer which is the leading cause of cancer-related deaths in middle-aged women. Pathological analysis of biopsy is the gold standard for diagnosis of breast cancer, and early detection ...
Jianfei Zhang +3 more
doaj +1 more source
Automatic detection of text genre [PDF]
Proceedings of the 35th annual meeting on Association for Computational Linguistics -, 1997 As the text databases available to users become larger and more heterogeneous, genre becomes increasingly important for computational linguistics as a complement to topical and structural principles of classification. We propose a theory of genres as bundles of facets, which correlate with various surface cues, and argue that genre detection based on ...
Brett Kessler +2 more
openaire +2 more sources