Artificial intelligence (AI) has recently made great advances in image classification and
malignancy prediction in the field of dermatology. However, understanding the applicability …

Significance: Accurately predicting wound healing trajectories is difficult for wound care
clinicians due to the complex and dynamic processes involved in wound healing. Wound …

Featured Application The proposed intelligent medical system is applicable for a medical
diagnostic system, especially for the diagnosis of diabetic foot ulcer. Abstract One of the …

There has been a substantial amount of research involving computer methods and
technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack …

Globally, in 2016, 1 out of 11 adults suffered from diabetes mellitus. Diabetic foot ulcers
(DFU) are a major complication of this disease, which if not managed properly can lead to …

Recognition and analysis of Diabetic Foot Ulcers (DFU) using computerized methods is an
emerging research area with the evolution of image-based machine learning algorithms …

Abstract Diabetic Foot Ulcer (DFU) is the main complication of Diabetes, which, if not
properly treated, may lead to amputation. One of the approaches of DFU treatment depends …

Current practice for diabetic foot ulcers (DFU) screening involves detection and localization
by podiatrists. Existing automated solutions either focus on segmentation or classification. In …

In current breast ultrasound computer aided diagnosis systems, the radiologist preselects a
region of interest (ROI) as an input for computerised breast ultrasound image analysis. This …

Acute and chronic wounds have varying etiologies and are an economic burden to
healthcare systems around the world. The advanced wound care market is expected to …