Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model

arXiv:2402.18362v1 Announce Type: new
Abstract: As advancements in the field of breast cancer treatment continue to progress, the assessment of post-surgical cosmetic outcomes has gained increasing significance due to its substantial impact on patients' quality of life. However, evaluating breast cosmesis presents challenges due to the inherently subjective nature of expert labeling. In this study, we present a novel automated approach, Attention-Guided Denoising Diffusion Anomaly Detection (AG-DDAD), designed to assess breast cosmesis following surgery, addressing the limitations of conventional supervised …

abstract anomaly anomaly detection arxiv assessment attention cancer cancer treatment challenges cs.ai cs.cv denoising detection diffusion evaluation impact life patients progress quality significance treatment type