Publications by authors named "Sai Ashish Somayajula"
Article Synopsis
- Endoscopy is crucial for diagnosing gastrointestinal disorders, but manual diagnosis is challenging due to vague symptoms and the hard-to-reach areas of the GI tract.
- The proposed curriculum self-supervised learning framework uses a large dataset of both unlabeled and labeled GI images to enhance diagnostic accuracy.
- Results show that this method achieves a top-1 accuracy of 88.92% and an F1 score of 73.39%, outperforming traditional methods and showcasing the benefits of leveraging unlabeled images for better diagnosis.
The emergence of long COVID during the ongoing COVID-19 pandemic has presented considerable challenges for healthcare professionals and researchers. The task of identifying relevant literature is particularly daunting due to the rapidly evolving scientific landscape, inconsistent definitions, and a lack of standardized nomenclature. This paper proposes a novel solution to this challenge by employing machine learning techniques to classify long COVID literature.
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