Seeing is Believing: How AI might transform skin cancer education

The integration of digital technologies, e.g., smartphone apps, has been shown to represent an impactful advancement in training for melanoma diagnosis.1

Multi-Head Attention

Expanding the concept of Scaled Dot-Product Attention, Vaswani et al. [1] proposed the multi-head attention mechanism.

Conformal prediction in AI

Conformal prediction offers a solution in uncertainty quantification and simultaneously provides a method for instance classification.

The Crucial Role of Data Annotation in the iToBoS Project

Artificial intelligence (AI) is at its peak right now. And we know its applications in healthcare are numerous. But when it comes to health data labeling, precision is necessary.

iToBoS project presented in PhoenixD Magazine

The iToBoS project was introduced in the second edition of PhoenixD Magazine.

Stratified K-Fold cross-validation for imbalanced datasets

In Machine Learning, a common technique used to train a robust and generalizable model, is cross-validation. It divides the dataset into multiple subsets, where typically one of them is the validation set and the remainder consist the training set.

Explainable AI for Melanoma Detection at MPNEconsensus 2024

The AI, Data, and Data-Dependent Business Models workshop took place between 31 January and 2 February 2024 at Fraunhofer Heinrich Hertz Institute in Berlin.

Monitoring of multiple fabrication parameters of electrospun polymer fibers using Mueller matrix analysis

Leibniz University Hannover has published a new peer-reviewed scientific article in the IOPScience Journal of Optics. The work was supported by iToBoS project, under European Union’s Horizon 2020 grant agreement No 955221.

iToBoS liquid lens nominated for PRISM Award

Every year, the international society for optics and photonics (SPIE) recognizes innovative companies with the Prism Award.

Data Augmentation in Classification and Segmentation: A Survey and New Strategies

In computer vision, deep learning models have proven instrumental in tackling various tasks, from object detection and segmentation to image classification and analysis.