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Deep learning (DL) models have rapidly become a popular and cost-effective tool for image classification within oncology. A major limitation of DL models is their vulnerability to adversarial images, ...
A research team has developed a diagnostic system that uses artificial intelligence (AI) to accurately identify the type of facial pigmented lesions and support laser treatment decisions. A paper on ...
The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological disorders and treatment responses.
In essence, AutoML for Embedded uses advanced algorithms like SMAC and Hyperband to automate model search and tuning. Further ...
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AZoRobotics on MSNDetecting Cancer Early with Deep LearningEDL, accurately identifies lung and colon cancers using histopathological images. This approach significantly improves early ...
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India Education Diary (English) on MSNKLH Scholar Awarded Doctorate for Pioneering Research in Brain Tumour DetectionKL Deemed to be University has conferred a Doctorate degree on Ms. A. Vinisha, a research scholar from the Department of ...
Fake news articles contained significantly higher levels of negative sentiment, including emotions such as fear, anger, ...
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