From pixel to cancer: Cellular automata in computed tomography
AI for cancer detection encounters the bottleneck of data scarcity, annotation difficulty, and
low prevalence of early tumors. Tumor synthesis seeks to create artificial tumors in medical …
low prevalence of early tumors. Tumor synthesis seeks to create artificial tumors in medical …
Synthetic data as validation
This study leverages synthetic data as a validation set to reduce overfitting and ease the
selection of the best model in AI development. While synthetic data have been used for …
selection of the best model in AI development. While synthetic data have been used for …
Gene-to-Image: Decoding Brain Images from Genetics via Latent Diffusion Models
Imaging genetics, discovering associations between imaging and genetic variations, has
emerged as a promising avenue to advance the understanding of neurological disorders …
emerged as a promising avenue to advance the understanding of neurological disorders …
Practical and Ethical Considerations for Generative AI in Medical Imaging
Abstract Generative Artificial Intelligence (AI) has the potential to transform medicine. It is
helpful to clinicians and radiologists for diagnosis, screening, treatment planning …
helpful to clinicians and radiologists for diagnosis, screening, treatment planning …
Practical and Ethical Considerations for Generative AI in Medical Imaging
Generative Artificial Intelligence (AI) has the potential to transform medicine. It is helpful to
clinicians and radiologists for diagnosis, screening, treatment planning, interventions, and …
clinicians and radiologists for diagnosis, screening, treatment planning, interventions, and …
[引用][C] 잠재확산모델을이용한유전체기반이미지생성
전수연， 송유지， 김원화 - 한국정보과학회학술발표논문집, 2024 - dbpia.co.kr
요 약영상과 유전적 변이 사이의 관계를 밝히는 영상 유전학은 신경학적 질병을 이해하는 데
중요한 연구분야이다. 데이터 수집이 어려운 의료 영상의 특성에도 불구하고, 유전자가 의료 …
중요한 연구분야이다. 데이터 수집이 어려운 의료 영상의 특성에도 불구하고, 유전자가 의료 …