384 citations · 1.1k across the 39 of their papers we have counts for
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DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification
Manu Goyal, Neil D. Reeves, Adrian K. Davison +3
Globally, in 2016, one out of eleven adults suffered from Diabetes Mellitus. Diabetic Foot Ulcers (DFU) are a major complication of this disease, which if not managed properly can…
Multi-class Semantic Segmentation of Skin Lesions via Fully Convolutional Networks
Manu Goyal, Moi Hoon Yap, Saeed Hassanpour
Melanoma is clinically difficult to distinguish from common benign skin lesions, particularly melanocytic naevus and seborrhoeic keratosis. The dermoscopic appearance of these lesi…
Fully Convolutional Networks for Diabetic Foot Ulcer Segmentation
Manu Goyal, Neil D. Reeves, Satyan Rajbhandari +2
Diabetic Foot Ulcer (DFU) is a major complication of Diabetes, which if not managed properly can lead to amputation. DFU can appear anywhere on the foot and can vary in size, colou…
Objective Classes for Micro-Facial Expression Recognition
Adrian K. Davison, Walied Merghani, Moi Hoon Yap
Micro-expressions are brief spontaneous facial expressions that appear on a face when a person conceals an emotion, making them different to normal facial expressions in subtlety a…
Automated Assessment of Facial Wrinkling: a case study on the effect of smoking
Omaima FathElrahman Osman, Remah Mutasim Ibrahim Elbashir, Imad Eldain Abbass +3
Facial wrinkle is one of the most prominent biological changes that accompanying the natural aging process. However, there are some external factors contributing to premature wrink…
A Comparative Study of the Clinical use of Motion Analysis from Kinect Skeleton Data
Sean Maudsley-Barton, Jamie McPheey, Anthony Bukowski +2
The analysis of human motion as a clinical tool can bring many benefits such as the early detection of disease and the monitoring of recovery, so in turn helping people to lead ind…