Multiple Field-of-View Based Attention Driven Network for Weakly Supervised Common Bile Duct Stone Detection

Multiple Field-of-View Based Attention Driven Network for Weakly Supervised Common Bile Duct Stone Detection

Objective: Common bile duct (CBD) stones caused diseases are life-threatening. Because CBD stones locate in the distal part of the CBD and have relatively small sizes, detecting CBD stones from CT scans is a challenging issue in the medical domain. Methods and procedures: We propose a deep learning...

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Bibliographic Details
Main Authors: Ya-Han Chang, Meng-Ying Lin, Ming-Tsung Hsieh, Ming-Ching Ou, Chun-Rong Huang, Bor-Shyang Sheu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Common bile duct (CBD) stone detection
choledocholithiasis
weakly-supervised learning
deep learning
object detection
Online Access:https://ieeexplore.ieee.org/document/10153581/

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