Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

M. D. Zane T. Hammoud

dblp:18/1690 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot manipulation · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%
Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › medical robotics › surgical robotics
minimally invasive surgery
0.112007
Tactile Imaging System for Localizing Lung Nodules during Video Assisted Thoracoscopic Surgery · ICRA 2007
Robotics › Robot manipulation
tactile sensing
0.112007
Tactile Imaging System for Localizing Lung Nodules during Video Assisted Thoracoscopic Surgery · ICRA 2007
Medical and health informatics
surgical navigation
0.112007
Tactile Imaging System for Localizing Lung Nodules during Video Assisted Thoracoscopic Surgery · ICRA 2007
Medical and health informatics › computational pathology
tumor localization
0.112007
Tactile Imaging System for Localizing Lung Nodules during Video Assisted Thoracoscopic Surgery · ICRA 2007
Virtual and augmented reality › augmented reality
image overlay
0.012007
Tactile Imaging System for Localizing Lung Nodules during Video Assisted Thoracoscopic Surgery · ICRA 2007

Methods — techniques the papers use, named apart from their topics

vision-based registration · 0.2capacitive tactile sensing · 0.2
YearPublicationVenuePosition
2007 Tactile Imaging System for Localizing Lung Nodules during Video Assisted Thoracoscopic Surgery
abstract
Early detection and removal of small pulmonary nodules significantly improves long term survival rates for patients with lung cancer. To aid in the localization of these tumors during video assisted thoracoscopic surgery (VATS), a tactile imaging system (TIS) is presented. The system consists of a capacitive array sensor mounted on a minimally invasive surgical probe that is integrated with the thoracoscopic imaging. A vision-based algorithm localizes the probe in the live video and overlays a registered pseudo-color map of the measured pressure distribution on the streaming images. The surgeon can locate the hard nodules by scanning the tactile sensor head across the surface of the lung and observing the spatial variation in contact pressures caused by the elasticity differences in the underlying tissue. A validation experiment was conducted to compare the system to a current localization technique using a rigid rod. Results indicate that subjects could localize stiff lumps in lung phantoms more quickly and accurately using the TIS.
Andrew P. Miller, William J. Peine, Jae S. Son, M. D. Zane T. Hammoud
ICRA4