[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 …
3D semantic mapping from arthroscopy using out-of-distribution pose and depth and in-distribution segmentation training
Minimally invasive surgery (MIS) has many documented advantages, but the surgeon's
limited visual contact with the scene can be problematic. Hence, systems that can help …
limited visual contact with the scene can be problematic. Hence, systems that can help …
Towards robotic knee arthroscopy: spatial and spectral learning model for surgical scene segmentation
Minimally invasive surgeries are complex to perform, and surgical outcomes are varied due
to a limited view of the surgical scene. There is a lack of reliable vision systems that can …
to a limited view of the surgical scene. There is a lack of reliable vision systems that can …
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 …
Towards robotic knee arthroscopy: multi-scale network for tissue-tool segmentation
Tissue awareness has a great demand to improve surgical accuracy in minimally invasive
procedures. In arthroscopy, it is one of the challenging tasks due to surgical sites exhibit …
procedures. In arthroscopy, it is one of the challenging tasks due to surgical sites exhibit …
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 …
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 …