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An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers.

, , , , , , , , , , , , , , и . MIE, том 294 из Studies in Health Technology and Informatics, стр. 63-67. IOS Press, (2022)

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Stefan Wiemeyer

Manuel Wiemeyer

Joachim Wiemeyer

Paul Wiemeyer

Ursula Wiemeyer

 

Другие публикации лиц с тем же именем

Automatic Classification of Diabetic Foot Ulcer Images - A Transfer-Learning Approach to Detect Wound Maceration., , , , , , , , и . ICIMTH, том 289 из Studies in Health Technology and Informatics, стр. 301-304. IOS Press, (2021)Can Synthetic Images Improve CNN Performance in Wound Image Classification?, , , , , , , , , и 5 other автор(ы). MIE, том 302 из Studies in Health Technology and Informatics, стр. 927-931. IOS Press, (2023)Predicting the amputation risk for patients with diabetic foot ulceration - a Bayesian decision support tool., , , , , и . BMC Medical Informatics Decis. Mak., 20 (1): 200 (2020)An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers., , , , , , , , , и 5 other автор(ы). MIE, том 294 из Studies in Health Technology and Informatics, стр. 63-67. IOS Press, (2022)Development and Evaluation of a Bayesian Risk Stratification Method for Major Amputations in Patients with Diabetic Foot Ulcers., , , , , и . ICIMTH, том 289 из Studies in Health Technology and Informatics, стр. 212-215. IOS Press, (2021)Automatic Wound Type Classification with Convolutional Neural Networks., , , , , , , , , и 3 other автор(ы). ICIMTH, том 295 из Studies in Health Technology and Informatics, стр. 281-284. IOS Press, (2022)