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Ryutaro Hamano

dblp:01/9969 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—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%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › medical robotics
needle insertion
0.112011
In vitro and in vivo validation of robotic palpation-based needle insertion method for breast tumor treatment · ICRA 2011
Medical and health informatics › oncology
breast tumor treatment
0.012011
In vitro and in vivo validation of robotic palpation-based needle insertion method for breast tumor treatment · ICRA 2011

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

ultrasound imaging · 0.2in vitro and in vivo validation · 0.2
YearPublicationVenuePosition
2011 In vitro and in vivo validation of robotic palpation-based needle insertion method for breast tumor treatment
abstract
We describe a palpation-based needle insertion method for diagnostic biopsy and radiofrequency ablation treatment of a breast tumor. The mechanical palpation probe locates cancerous tissue from ultrasound imaging information and reduces tissue displacement during needle insertion by pressing the breast tissue. We examined the insertion accuracy of this method and compared palpation-based needle insertion with normal needle insertion both in vitro and in vivo. Palpation-based needle insertion had a smaller error, suggesting that this procedure is a safe, effective alternative to traditional methods of breast needle insertion.
Maya Hatano, Yo Kobayashi, Ryutaro Hamano, Makiko Suzuki, Yasuyuki Shiraishi, Tomoyuki Yambe, Kozo Konishi, Makoto Hashizume, Masakatsu G. Fujie
ICRA3