Image Recognition and Analysis of Intrauterine Residues Based on Deep Learning and Semi-Supervised Learning

Image Recognition and Analysis of Intrauterine Residues Based on Deep Learning and Semi-Supervised Learning

Residual placenta is one of the common types of postpartum complications in clinical practice. Residual placenta is also the main and most common cause of late postpartum hemorrhage. This article proposes a spatial pyramid loop module, which solves the problem that the existing network structure can...

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Bibliographic Details
Main Authors: Tao Tao, Kan Liu, Li Wang, Haiying Wu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning
semi-supervised learning
image recognition
intrauterine residue
Online Access:https://ieeexplore.ieee.org/document/9180269/

Internet

https://ieeexplore.ieee.org/document/9180269/

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