Transforming Auto-Encoder and Decoder Network for Pediatric Bone Image Segmentation using a State-of-the-art Semantic Segmentation network on Bone Radiographs

Semantic Image segmentation is one of the toughest problems in computer vision. It is a task that requires a vision system, that can capture the pose and the location of an option to a high degree of accuracy. The typical deep learning-based solutions for automatic image segmentation use Max Pooling...

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Veröffentlicht in:	2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Jg. 3; S. 251 - 256
Hauptverfasser:	Varghese, Reuben, Sharma, Smarita, Premalatha, M
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2018
Schlagworte:	Biomedical imaging Bones Capsule Networks Deep Learning Image color analysis Image segmentation Pediatric bone radiograph Radiography Semantics Task analysis
ISSN:	2189-8723
Online-Zugang:	Volltext
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