April 25, 2024, 5:44 p.m. | Philip M\"uller, Georgios Kaissis, Daniel Rueckert

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.15770v1 Announce Type: cross
Abstract: Report generation models offer fine-grained textual interpretations of medical images like chest X-rays, yet they often lack interactivity (i.e. the ability to steer the generation process through user queries) and localized interpretability (i.e. visually grounding their predictions), which we deem essential for future adoption in clinical practice. While there have been efforts to tackle these issues, they are either limited in their interactivity by not supporting textual queries or fail to also offer localized interpretability. …

abstract adoption arxiv clinical cs.cl cs.cv cs.lg fine-grained future images interactive interpretability localization medical predictions process queries report textual through type

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