[HTML][HTML] ArthroNet: a monocular depth estimation technique with 3D segmented maps for knee arthroscopy
Background Lack of depth perception from medical imaging systems is one of the long-
standing technological limitations of minimally invasive surgeries. The ability to visualize …
standing technological limitations of minimally invasive surgeries. The ability to visualize …
Arthroscopic scene segmentation using multispectral reconstructed frames and deep learning
Background Knee arthroscopy is one of the most complex minimally invasive surgeries, and
it is routinely performed to treat a range of ailments and injuries to the knee joint. Its complex …
it is routinely performed to treat a range of ailments and injuries to the knee joint. Its complex …
Surface reflectance: a metric for untextured surgical scene segmentation
Segmentation is a process to understand scene context captured by a camera, and it is
commonly used to solve many robotic problems such as localization and tracking. The utility …
commonly used to solve many robotic problems such as localization and tracking. The utility …
Learning from learned network: an introspective model for arthroscopic scene segmentation
The knee joint, due to its complex, confined, and dynamic nature, poses several challenges
in visualizing anatomical details for diagnostic and minimally invasive surgical procedures …
in visualizing anatomical details for diagnostic and minimally invasive surgical procedures …
A New Methodology to Detect Plant Disease Using Reprojected Multispectral Images from RGB Colour Space
Plant disease detection is a pivotal step to prevent crop damage and maximise the crop
yield. Although recent deep learning-based techniques achieved significant progress in this …
yield. Although recent deep learning-based techniques achieved significant progress in this …
Analysis of the Performance of YOLO Models for Tomato Plant Diseases Identification
S Ahmed - Computer Vision and Machine Learning in Agriculture …, 2023 - Springer
Disease detection is an important task of field robotics for precision agriculture. Inspired by
the deep learning model in performing high-level vision tasks, this research focused to …
the deep learning model in performing high-level vision tasks, this research focused to …
RGB to Multispectral Remap: A Cost-Effective Novel Approach to Recognize and Segment Plant Disease
Multispectral images represent radiant spectral energy captured at several light
wavelengths; hence, these images are able to convey meaningful information related to the …
wavelengths; hence, these images are able to convey meaningful information related to the …