MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems

arXiv:2405.01658v1 Announce Type: cross
Abstract: The acquisition of different data modalities can enhance our knowledge and understanding of various diseases, paving the way for a more personalized healthcare. Thus, medicine is progressively moving towards the generation of massive amounts of multi-modal data (\emph{e.g,} molecular, radiology, and histopathology). While this may seem like an ideal environment to capitalize data-centric machine learning approaches, most methods still focus on exploring a single or a pair of modalities due to a variety of reasons: …

arxiv cs.cv dataset development eess.iv medical modal multi-modal systems type world