Abstract
Progress with technology and regulatory approvals has recently allowed the successful clinical translation of fluorescence molecular imaging to intra-operative applications. Initial studies have demonstrated a promising outlook for imaging cancer micro-foci, margins and lymph-nodes. However, not all surgeries will benefit equally from fluorescence guidance. This review paper outlines the clinical necessity for improving surgical procedures in the most prevalent solid tumors worldwide, demarcates major challenges currently encountered intra-operatively and outlines the role of imaging fluorescent agents during the operation.
Keywords: Cancer, Intraoperative Imaging, Near-infrared Fluorescence, Tumor, Resection Margin, Lymph Node Detection
Call for Papers in Thematic Issues
Intelligent Information Retrieval for Multispectral and Hyperspectral Imaging
Multispectral and hyperspectral imaging is an interdisciplinary research area, widely focuses on spectral, spatial, and temporal data. It offers a plethora of opportunities to efficiently analyze the vast area of the earth's surface. However, there are numerous factors such as dimensionality and size of the hyperspectral data, lesser training samples, ...read more
Machine and Deep Learning in Medical Image Diagnosis
Medical Image Processing regards a set of methodologies that have been developed over recent years with the purpose of improving medical image quality, improving medical data visualization, understanding, and assisting medical diagnosis, and so on. The application of machine and deep learning methods in sensing and imaging can potentially have ...read more
Quantum Machine Learning for Medical Data and Imaging
Quantum computing has promised a significant speedup in certain computationally intensive tasks that are intractable on classical computers. Researchers in quantum machine learning, such as those working in computer vision, image processing, biomedical analysis, and related topics, may play an important role in comprehending and working on complicated medical data, ...read more
6