Neural network‐based solutions are under development to alleviate physicians from the
tedious task of small‐bowel capsule endoscopy reviewing. Computer‐assisted detection is a …

Signal processing is a fundamental component of almost any sensor-enabled system, with a
wide range of applications across different scientific disciplines. Time series data, images …

Background and objectives: In endoscopy, measurement of target size can assist medical
diagnosis. However, limited operating space, low image quality, and irregular target shape …

As the number of people affected by diseases in the gastrointestinal system is ever-
increasing, a higher demand on preventive screening is inevitable. This will significantly …

Endoscopy is a critical application that requires adaptable illumination to adjust to varying
imaging conditions. Automatic brightness control (ABC) algorithms ensure optimal …

The physician's experience is highly correlated with the content interpretation of medical
images. Over time, physicians develop their ability to examine the images, and this is usually …

针对低分辨率, 弱纹理, 缺少参照物的小场景下内窥镜图像目标测量困难问题, 提出了融合5
自由度电磁传感器的单目内窥镜下目标尺寸测量方法. 首先, 分析了基于5 …

Focusing on the stable magnification, near zero distortion, and wide field of depth (DoF), the
telecentric optical system is well suited for size measurements with a large range of working …

This paper introduces a novel neuro-geometric methodology for single image object depth
estimation, abbreviated as NGDE. The proposed methodology can be described as a hybrid …

This article proposes a novel, more robust method for single-image visual size
measurements, named virtual grid mapping (VGM). VGM requires just a single image as …