DMGM: deformable-mechanism based cervical cancer staging via MRI multi-sequence
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Junqiang Cheng,
Binnan Zhao,
Ziyi Liu
et al.
Abstract:Objective: This study aims to leverage a deep learning approach, specifically a deformable convolutional layer, for staging cervical cancer using multi-sequence MRI images. This is in response to the challenges doctors face in simultaneously identifying multiple sequences, a task that computer-aided diagnosis systems can potentially improve due to their vast information storage capabilities.

Approach: To address the challenge of limited sample sizes, we introduce a sequence enhancement strateg… Show more
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