Deep learning-based techniques have been widely employed in solving various medical image analytical problems. Currently, most of these methods directly employ deep architectures from natural image scenarios without considering the specific struct...
The ability to view pre-operative CT colonoscopy images co-aligned with optical colonoscopy images from endoscopic procedures can provide useful information to the gastroenterologist and lead to improved polyp detection. Colonoscopy data presents ...
Computer science, Information science, Diagnostic imaging
Description
The increasing performance of feature extraction and regression modeling in various domains raises the hope for machine and deep learning to assist clinicians in numerous healthcare applications. However, the complex and multimodal nature of the p...
The goal of this study is to develop an enhanced mid-IR imaging modality for mapping vascular structures. This imaging technique is intended for real-time use by medical professionals during surgical procedures such as tumor removal and vascular m...
Current medical treatment for comminuted bone fractures, i.e., traumatic bone fractures that result in many bone fragments, is based upon fracture severity classifications that physicians determine subjectively. Due to the subjectivity in the inte...
