1 citations · 1 across the 3 of their papers we have counts for
3 papers
ChexFract: From General to Specialized -- Enhancing Fracture Description Generation
Nikolay Nechaev, Evgeniia Przhezdzetskaia, Dmitry Umerenkov +1
Generating accurate and clinically meaningful radiology reports from chest X-ray images remains a significant challenge in medical AI. While recent vision-language models achieve s…
How many samples to label for an application given a foundation model? Chest X-ray classification study
Nikolay Nechaev, Evgeniia Przhezdzetskaia, Viktor Gombolevskiy +2
Chest X-ray classification is vital yet resource-intensive, typically demanding extensive annotated data for accurate diagnosis. Foundation models mitigate this reliance, but how m…
CPAISD: Core-penumbra acute ischemic stroke dataset
D. Umerenkov, S. Kudin, M. Peksheva +1
We introduce the CPAISD: Core-Penumbra Acute Ischemic Stroke Dataset, aimed at enhancing the early detection and segmentation of ischemic stroke using Non-Contrast Computed Tomogra…