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LMM-Assisted Breast Cancer Treatment Target Segmentation with Consistency Embedding
March 22, 2024, 4:43 a.m. | Kwanyoung Kim, Yujin Oh, Sangjoon Park, Hwa Kyung Byun, Jin Sung Kim, Yong Bae Kim, Jong Chul Ye
cs.LG updates on arXiv.org arxiv.org
Abstract: Recent advancements in Artificial Intelligence (AI) have profoundly influenced medical fields, by providing tools to reduce clinical workloads. However, most AI models are constrained to execute unimodal tasks, in stark contrast to the comprehensive approaches utilized by medical professionals. To address this, here we present RO-LMM, a multi-purpose large multimodal model (LMM) tailored for the field of radiation oncology. This model covers series of tasks within clinical workflow, adept at clinical report summarization, radiation treatment …
abstract ai models artificial artificial intelligence arxiv cancer cancer treatment clinical contrast cs.ai cs.cv cs.lg embedding fields however intelligence lmm medical professionals reduce segmentation tasks tools treatment type workloads
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