{"number":"US12697071B2","kindCode":"B2","documentType":"grant","title":{"original":"Deep learning Lyme disease diagnosis","english":"Deep learning Lyme disease diagnosis"},"abstract":{"original":"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 …","english":"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 …"},"applicants":["THE JOHNS HOPKINS UNIVERSITY"],"inventors":["Seth D. BILLINGS","Philippe M. BURLINA","Neil J. JOSHI","John N. AUCOTT","Elise NG"],"filingDate":"2021-03-22","publicationDate":"2026-08-04","grantDate":"2026-08-04","verifiedWithOffice":true,"pdfUrl":"https://downloadpatent.com/pdf/US12697071B2.pdf","pages":{"en":"https://downloadpatent.com/patent/US12697071B2","zh-Hant":"https://downloadpatent.com/zh-Hant/patent/US12697071B2","ja":"https://downloadpatent.com/ja/patent/US12697071B2"}}