United States
US 12,697,071 B2
Deep learning Lyme disease diagnosis
US 12,697,071 B2 is a granted patent from the United States Patent and Trademark Office (USPTO), dated 2026-08-04. Applicant: THE JOHNS HOPKINS UNIVERSITY. Its PDF downloads from this page without an account, up to 5 a day.
- Applicant
- THE JOHNS HOPKINS UNIVERSITY
- Inventors
- Seth D. BILLINGS; Philippe M. BURLINA; Neil J. JOSHI; John N. AUCOTT; Elise NG
- Publication date
- 2026-08-04
- Filing date
- 2021-03-22
- Document type
- B2 Granted patent
- Also written as
- US 12,697,071 B2 · US12697071 · 12697071
Abstract
Techniques for diagnosing Lyme disease are presented. The techniques may include obtaining a digital photo of a skin lesion, providing the digital photo to a deep learning convolutional neural network, such that an output diagnosis is provided. The deep learning convolutional neural network may be trained using a training corpus including a plurality of digital training images annotated according to one of a plurality of training image diagnoses, where the plurality of training image diagnoses include at least one Lyme disease type, normal skin, and at least one non-Lyme skin lesion type, and …
The opening of the abstract. The full text is in the PDF.
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