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Author
Patrick Brandao; O. Zisimopoulos; E. Mazomenos; G. Ciutib; Jorge Bernal; M. Visentini-Scarzanell; A. Menciassi; P. Dario; A. Koulaouzidis; A. Arezzo; D.J. Hawkes; D. Stoyanov
Title
Towards a computed-aided diagnosis system in colonoscopy: Automatic polyp segmentation using convolution neural networks
Type
Journal
Year
2018
Publication
Journal of Medical Robotics Research
Abbreviated Journal
JMRR
Volume
3
Issue
2
Pages
Keywords
convolutional neural networks; colonoscopy; computer aided diagnosis
Abstract
Early diagnosis is essential for the successful treatment of bowel cancers including colorectal cancer (CRC) and capsule endoscopic imaging with robotic actuation can be a valuable diagnostic tool when combined with automated image analysis. We present a deep learning rooted detection and segmentation framework for recognizing lesions in colonoscopy and capsule endoscopy images. We restructure established convolution architectures, such as VGG and ResNets, by converting them into fully-connected convolution networks (FCNs), ne-tune them and study their capabilities for polyp segmentation and detection. We additionally use Shape-from-Shading (SfS) to recover depth and provide a richer representation of the tissue's structure in colonoscopy images. Depth is
incorporated into our network models as an additional input channel to the RGB information and we demonstrate that the resulting network yields improved performance. Our networks are tested on publicly available datasets and the most accurate segmentation model achieved a mean segmentation IU of 47.78% and 56.95% on the ETIS-Larib and CVC-Colon datasets, respectively. For polyp
detection, the top performing models we propose surpass the current state of the art with detection recalls superior to 90% for all datasets tested. To our knowledge, we present the rst work to use FCNs for polyp segmentation in addition to proposing a novel combination of SfS and RGB that boosts performance.
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Notes
MV; no menciona
Approved
no
Call Number
BZM2018
Serial
2976
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Author
Fernando Vilariño; Dimosthenis Karatzas; Alberto Valcarce
Title
The Library Living Lab Barcelona: A participative approach to technology as an enabling factor for innovation in cultural spaces
Type
Journal
Year
2018
Publication
Technology Innovation Management Review
Abbreviated Journal
Volume
Issue
Pages
Keywords
Abstract
Address
Corporate Author
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Editor
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Original Title
Series Editor
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Notes
DAG; MV; 600.097; 600.121; 600.129;SIAI
Approved
no
Call Number
Admin @ si @ VKV2018a
Serial
3153
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