Melanoma is one of the most aggressive types of skin cancer and in many cases it is difficult
to differentiate from benign naevi. In this contribution we present a decision support (expert) …

Skin cancer has become increasingly common over the past decade, with melanoma being
the most aggressive type. Hence, early detection of skin cancer and melanoma is essential …

We investigate the design of an entire mobile imaging system for early detection of
melanoma. Different from previous work, we focus on smartphone-captured visible light …

One of the major bottlenecks in applying conventional neural networks to the medical field is
that it is very difficult to interpret, in a physically meaningful way, because the learned …

An automatic taxonomy extraction algorithm is proposed. Given a set of terms or terminology
related to a subject domain, the proposed approach uses Google page count to estimate the …

The task of person re-identification (re-id) is to match images of people observed in different
camera views. Recent researches mainly focus on feature representation and metric …

Melanoma is one of the most treacherous forms of skin cancer. An automatic melanoma
detection system (AMDS) is an image based melanoma skin cancer detection system which …

In quantitative biology, discovering a class when presented with a large bimolecular dataset
poses a big problem. However, ensemble learning approach has been helpful in various …