Object detection is a computer vision technology that can detect objects in images and videos. It answers the question: which object is presented and where is it?
In recent times, data has become one of the most precious resources in both business and science. For projects such as iToBoS, which aims to utilize deep learning in the global fight against melanoma, the veracity, validity and volume of data is essential.
Due to the ubiquity of AI systems in our society, awareness has been raised for the need of neural networks and their predictions to be transparent and explainable.
iToBoS consultants met with representatives of Government of Catalonia to present the project, as well as its innovative aspects and its value proposition based on the application of information technologies and optoelectronics for the health sector and society.
DICOM (Digital Imaging and Communications in Medicine) files are a standard for storing and transmitting medical imaging information. They are more commonly used in various radiology modalities, such as MRI or CT scans, as they can contain multiple frames of an image in a single file, thus allowing to store a 3D image formed by slices.
Skin cancer is the most common type of cancer, and early detection is crucial for successful treatment. One approach to detecting skin cancer is to use change detection, where changes in the skin over time are analyzed to identify potential malignancies.
The Hungarian Railway Museum in Budapest provided a rather extraordinary venue for this year’s AI&AUT EXPO, an event co-organized by the national laboratories coordinated by SZTAKI and Neumann Nonprofit Public Benefit Ltd.