Researchers at the University of California, Los Angeles (UCLA), in collaboration with UC Berkeley, have developed a new type ...
Background: Accurate segmentation and classification of carotid plaques are critical for assessing stroke risk. However, conventional methods are hindered by manual intervention, inter-observer ...
Abstract: In response to the issues of low automation, strong subjectivity in detection results, and serious impacts on the safety of bridges and public outings caused by existing methods for ...
Abstract: Cervical cancer ranks as a major cause of death among women globally, making essential for effective treatment. The automated examination of Pap smear images through sophisticated machine ...
Glass Imaging, a company harnessing the power of artificial intelligence to revolutionize digital image quality, raised $20 million in funding. Global software investor insight Partners led the round.
Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...
Introduction: Lung cancer is one of the main causes of the rising death rate among the expanding population. For patients with lung cancer to have a higher chance of survival and fewer deaths, early ...
Built a deep CNN for multi-class sports image classification using a Kaggle dataset. Tuned hyperparameters (layers, dropout, optimizer, batch size, learning rate, weight decay) and trained with early ...
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