Results 71 to 80 of about 60,125 (341)
FEBS Open Bio, EarlyView.In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes +32 more
wiley +1 more source
Design of a Multifunctional Operating Station Based on Augmented Reality (MOSAR)
Cybernetics and Information Technologies, 2021 Design principles of a novel Multifunctional Operation Station (MOS) using Augmented Reality (AR) technology (MOSAR) are proposed in this paper. AR-based design allows more ergonomic remote instrument control in real time in contrast to classical ...
Ivanova Veronika +4 more
doaj +1 more source
Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation
, 2016 Joint segmentation and classification of fine-grained actions is important for applications of human-robot interaction, video surveillance, and human skill evaluation. However, despite substantial recent progress in large-scale action classification, the
G Navarro +6 more
core +1 more source
FEBS Open Bio, EarlyView.Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman +4 more
wiley +1 more source
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Application of Artificial Intelligence in Surgical Robotics
Zhongguo yiliao qixie zazhiSurgical robots represent one of the important diagnostic and treatment methods in the field of surgery. In recent years, artificial intelligence (AI) has been increasingly used in the field of surgical medicine, especially in the field of robotic ...
Linghan ZHANG, Yuan LIN
doaj +1 more source
Multi-stage Suture Detection for Robot Assisted Anastomosis based on Deep Learning
, 2017 In robotic surgery, task automation and learning from demonstration combined with human supervision is an emerging trend for many new surgical robot platforms.
Gu, Yun +3 more
core +1 more source
Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario [PDF]
, 2022 Yonghao Long +4 more
openalex +1 more source
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
FEBS Open Bio, EarlyView.RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
Surgical Images and Surgical Robots
Journal of the Visualization Society of Japan, 2004 Realization of new surgical treatment in the 21st century, it is necessary to use various advanced technologies; surgical robots, three-dimensional (3-D) medical images, computer graphics, computer simulation technology and others. Three-dimensional medical image for surgical operation provides surgeons with advanced vision.
openaire +2 more sources