Diagnostic aid

8 Aug 2018

Siamese Neural Networks

2019-10-25T11:20:16+02:00Categories: Deep Learning|Tags: , , |1 Comment

Siamese networks were first introduced by Bromley and LeCun [1] in early 1990s to solve signature verification as an image matching problem. A similar Siamese architecture was independently proposed for fingerprint identification by Baldi and Chauvin [2] in 1992.  Later in 2015, Gregory Koch et al. [3] proposed to use Siamese neural networks for one-shot image recognition. Siamese neural networks are designed as two twin networks that are connected by their final layer by means of a distance layer that is trained to predict whether two images belong to the same category or not. The networks that compose the siamese architecture are called twins because all the weights and biases are tied, which means that both networks are symmetric. Symmetry is important as the network should be invariant to switching the input images. Moreover, this characteristic makes the networks much faster to train since the number of [...]

24 May 2018

Optical biopsy for the early diagnosis of skin cancer based on images

2019-10-25T11:26:40+02:00Categories: Deep Learning, Photonics|Tags: , , , , , , , |0 Comments

Currently, the analysis of a suspicious skin lesions is done through biopsy, a process than usually takes several weeks until the definitive diagnosis is obtained. This means high personal costs, due to the uncertainty during the wait, and high economical costs to the health system, attributable to the cost of the procedure and consequent visits to the physician. Besides, the incidence of melanoma has nearly doubled in the last 10 years in the Basque Country and is growing at 10% rate per year in Spain. The 23th of May is the World Melanoma day. Tecnalia works in collaboration with the University of the Basque Country, Ibermática and NorayBio on the development of a computer aided diagnosis tool (CAD) for the early diagnosis of melanoma and basal cell carcinoma (BCC) based on images and clinical data. Molecular data related to prognosis is also being studied, as it can help to define [...]