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Fast multiphoton microscopic imaging joint image super-resolution for automated Gleason grading of prostate cancers
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  • Xinpeng Huang,
  • Qianqiong Wang,
  • Jia He,
  • Chaoran Ban,
  • Hua Zheng,
  • Hong Chen,
  • Xiaoqin Zhu
Xinpeng Huang
Fujian Normal University
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Qianqiong Wang
Fujian Normal University
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Jia He
Fujian Normal University
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Chaoran Ban
The First Affiliated Hospital of Fujian Medical University
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Hua Zheng
Fujian Normal University
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Hong Chen
The First Affiliated Hospital of Fujian Medical University
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Xiaoqin Zhu
Fujian Normal University

Corresponding Author:[email protected]

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Abstract

Gleason grading system is dependable for quantifying prostate cancer. This paper introduces a fast multiphoton microscopic imaging method via deep learning for automatic Gleason grading. Due to the contradiction between multiphoton microscopy (MPM) imaging speed and quality, a deep learning architecture (SwinIR) is used for image super-resolution to address this issue. The quality of low-resolution image is improved, which increased the acquisition speed from 7.55s per frame to 0.24s per frame. A classification network (Swin transformer) was introduced for automated Gleason grading. The classification accuracy and F1-score achieved by training on high-resolution images are respectively 90.9% and 90.9%. For training on super-resolution images, the classification accuracy and F1-score are respectively 89.9% and 89.9%. It shows super-resolution image can provide a comparable performance to high-resolution image. Our results suggested MPM joint image super-resolution and automatic classification methods holds the potential to be a real-time clinical diagnostic tool for prostate cancer diagnosis.
31 May 2024Submitted to Journal of Biophotonics
01 Jul 2024Review(s) Completed, Editorial Evaluation Pending
01 Jul 2024Editorial Decision: Revise Major
11 Jul 20241st Revision Received
15 Jul 2024Assigned to Editor
15 Jul 2024Submission Checks Completed
15 Jul 2024Reviewer(s) Assigned
15 Jul 2024Review(s) Completed, Editorial Evaluation Pending
07 Aug 2024Editorial Decision: Revise Minor
08 Aug 20242nd Revision Received
08 Aug 2024Assigned to Editor
08 Aug 2024Submission Checks Completed
08 Aug 2024Review(s) Completed, Editorial Evaluation Pending
08 Aug 2024Editorial Decision: Accept