Semantic segmentation of medical images aims to associate a pixel with a label in a medical
image without human initialization. The success of semantic segmentation algorithms is …

International challenges have become the de facto standard for comparative assessment of
image analysis algorithms. Although segmentation is the most widely investigated medical …

International challenges have become the standard for validation of biomedical image
analysis methods. Given their scientific impact, it is surprising that a critical analysis of common …

Purpose: The effects of pan–histone deacetylase (HDAC) inhibitors on cancer cells have
shown that HDACs are involved in fundamental tumor biological processes such as cell cycle …

Rationale: Studies demonstrating early structural lung damage in infants and preschool
children with cystic fibrosis (CF) suggest that noninvasive monitoring will be important to identify …

Evaluation of the reliability of toxicological data is of key importance for regulatory decision-making.
In particular, the new EU Regulations concerning the registration, evaluation, …

Activation of β-catenin-mediated transcription is the nuclear end point of organ-specific Wnt
signaling. In the developing kidney, Wnt-4, a secreted glycoprotein, acts as an autoinducer of …

While the importance of automatic image analysis is continuously increasing, recent meta-research
revealed major flaws with respect to algorithm validation. Performance metrics are …

Background In this article, we describe qualitative and quantitative methods for assessing
the degree of agreement (concordance) between two measuring or rating techniques. An …

Purpose: Medulloblastomas are the most common malignant brain tumors in childhood.
Survivors suffer from high morbidity because of therapy-related side effects. Thus, therapies …