Results 11 to 20 of about 6,515,077 (343)
Nature Communications, 2021 Retinal fundus diseases can lead to irreversible visual impairment without timely diagnoses and appropriate treatments. Single disease-based deep learning algorithms had been developed for the detection of diabetic retinopathy, age-related macular ...
Ling-Ping Cen +31 more
semanticscholar +1 more source
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
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 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
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
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 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
The economics of sensor-based management of dairy cow suboptimal mobility
Journal of Dairy Science, 2022 : Suboptimal mobility (SOM) is a costly health condition in dairy production. Current SOM management is based on visual SOM detection by farm staff. This often leads to cows with severe SOM being detected and promptly treated, whereas the detection and ...
Francis Edwardes +2 more
doaj +1 more source
5th International Conference on Spoken Language Processing (ICSLP 1998), 1998 Most work on sense disambiguation presumes that one knows beforehand -- e.g. from a thesaurus -- a set of polysemous terms. But published lists invariably give only partial coverage. For example, the English word tan has several obvious senses, but one may overlook the abbreviation for tangent.
Sproat, Richard, van Santen, Jan
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Automatic Dry Eye Detection [PDF]
, 2007 Dry Eye Syndrome is a common disease in the western world, with effects from uncomfortable itchiness to permanent damage to the ocular surface. Nevertheless, there is still no objective test that provides reliable results. We have developed a new method for the automated detection of dry areas in videos taken after instilling fluorescein in the tear ...
Tamir, Yedidya +3 more
openaire +2 more sources