In the iToBoS scanner, polarized light will be used to illuminate the skin of the patient. In this blogpost we want to explore what it means when we are talking about optical polarization.
Skin cancer is one of the most common cancers in the world. In the US alone, between 3 to 5 million new cases are reported each year, with treatment costs of approximately $9 billion.
The work "Measurably Stronger Explanation Reliability via Model Canonization", supported by iToBoS project, has been published.
Data classification is the process of classifying data as a whole (e.g. database schema) or its parts (e.g. column name, column values) into categories. It can also be evaluated for its identifiability, sensitivity and/or confidentiality. In this work, our focus lies in and around structured (and semi structured) data.
The work "Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations", supported by iToBoS project, has been published.
The scientific work "PatClarC: Using pattern concept activation vectors for noise-robust model debugging", with the support of iToBoS project, has been published.
In the iToBoS project, the so-called 3D cameras are used. These cameras enable us to make a virtual representation of the patient. This can help the dermatologists to match dermoscopic images of lesions with the lesions on the body of the patient.
Skin cancer is one of the most common cancers in the world. Late-stage skin cancers spreads to internal organs and become fatal. Early-stage skin cancer can be cured with a high survival rate, while the 5-year survival rate for skin cancer is extremely low. Therefore, early detection is the key in fighting skin cancer.