NDLI: Multiscale matters for part segmentation of instruments in robotic surgery

Content Provider	IET Digital Library
Author	He, Wenhao Song, Haitao Guo, Yue Bian, Guibin Sun, Yuejie Zhou, Xiaowei Wang, Xiaonan
Abstract	A challenging aspect of instrument segmentation in robotic surgery is to distinguish different parts of the same instrument. Parts with similar textures are common in a practical instrument and are difficult to distinguish. In this work, the authors introduce an end-to-end recurrent model that comprises a multiscale semantic segmentation network and a refinement model. Specifically, the semantic segmentation network uniformly transforms the input images in multiple scales into a semantic mask, and the refinement model is a single-scale net recurrently optimising the above semantic mask. Through extensive experiments, the authors validate that the models with multiscale inputs perform better than those to fuse encoded feature maps and ones with spatial attention. Furthermore, the authors verify the effectiveness of the proposed model with state-of-the-art performances on several robotic instrument datasets derived from MICCAI Endoscopic Vision Challenges.
Starting Page	3215
Ending Page	3222
Page Count	8
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 13, Nov (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2020.0320
Journal	IET Image Processing
Publisher Date	2020-08-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Authors Biological And Medical Control System Biology And Medical Computing Challenging Aspect Computer Vision Computer Vision And Image Processing Technique End-to-end Recurrent Model Endoscopes Image Segmentation Image Texture Input Image Instrument Segmentation Medical Computing Medical Image Processing Medical Robotics MICCAI Endoscopic Vision Challenges Multiscale Input Multiscale Matters Multiscale Semantic Segmentation Network Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Practical Instrument Refinement Model Robotic Instrument Datasets Robotic Surgery Semantic Mask Similar Textures Single-scale Net Statistics Surfactant
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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