Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability

arXiv:2406.12897v1 Announce Type: new
Abstract: It is imperative that breast cancer is detected precisely and timely to improve patient outcomes. Diagnostic methodologies have traditionally relied on unimodal approaches; however, medical data analytics is integrating diverse data sources beyond conventional imaging. Using multi-modal techniques, integrating both image and non-image data, marks a transformative advancement in breast cancer diagnosis. The purpose of this review is to explore the burgeoning field of multimodal techniques, particularly the fusion of histopathology images with non-image data. …

abstract analytics arxiv beyond cancer cancer diagnosis cs.ai cs.cv cs.lg data data analytics data sources diagnosis diagnostic diverse explainability however image image data imaging insights marks medical medical data modal multi-modal patient type