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FPGA-based intelligent early warning method for BPH (benign postatic hperplasia) bipolar prostatectomy

A technology for benign prostatic hyperplasia and prostate, which can be used in surgery, medical science, diagnosis, etc. It can solve the problems of inaccuracy and high level of doctor experience, achieve low power consumption, and reduce the effect of surgical error rate

Inactive Publication Date: 2019-06-18
WUHAN UNIV
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Problems solved by technology

[0005] In view of the fact that the operation process of bipolar resection of benign prostatic hyperplasia requires a high level of experience of doctors, and sometimes there is a problem of imprecise resection under the cooperation of endoscope, the present invention provides an intelligent early warning of bipolar resection of benign prostatic hyperplasia based on FPGA The method aims to assist doctors in operation, give early warning information in time, avoid excessive resection, and reduce the rate of surgical errors

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  • FPGA-based intelligent early warning method for BPH (benign postatic hperplasia) bipolar prostatectomy
  • FPGA-based intelligent early warning method for BPH (benign postatic hperplasia) bipolar prostatectomy
  • FPGA-based intelligent early warning method for BPH (benign postatic hperplasia) bipolar prostatectomy

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[0032] In order to better understand the above-mentioned technical solution, the above-mentioned technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0033] The present embodiment provides a kind of FPGA-based bipolar resection intelligent early warning method for benign prostatic hyperplasia, mainly comprising the following steps:

[0034] Step 1. Based on the Squeezenet network, construct a prostate capsule tissue detection module deployed on FPGA.

[0035] Step 2: Acquiring real-time surgical images, and transmitting the real-time surgical images to the FPGA.

[0036] Step 3: Using the prostate capsule tissue detection module to detect the prostate capsule tissue in the surgical real-time image, and feed back early warning information.

[0037] Wherein, step 1 mainly includes the following sub-steps:

[0038] (1) Collect image data of bipolar resection of benign prostatic hyperplasia and ...

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Abstract

The invention belongs to the technical field of intelligent assistance for medical operation, and discloses an FPGA-based intelligent early warning method for BPH (benign postatic hperplasia) bipolarprostatectomy. The method comprises the following steps: constructing a prostate capsule tissue detection module arranged on an FPGA based on a Squeezenet network; acquiring a real-time operation image and transmitting the real-time operation image to the FPGA; detecting prostate capsule tissue on the real-time operation image by a prostate capsule tissue detection module to obtain early warning information. Doctors can be assisted to operate in BPH (benign postatic hperplasia) bipolar prostatectomy, early warning information can be given in time, excessive resection is avoided, and the operation error rate is reduced.

Description

technical field [0001] The invention relates to the technical field of medical operation intelligent assistance, in particular to an FPGA-based intelligent early warning method for bipolar resection of benign prostatic hyperplasia. Background technique [0002] Prostatic hyperplasia (BPH) is one of the most common benign diseases causing voiding disorders in middle-aged and elderly men, and its incidence is gradually increasing with the aging of the global population. For BPH, the main surgical method is transurethral resection of the prostate. Among them, transurethral bipolar plasma resection of the prostate (TUPKP) is widely used. TUKEP resects the prostate in the capsule, which is more in line with the anatomical structure of the prostate. However, the operation process requires a high level of experience for doctors, and sometimes inaccurate resections are performed with the cooperation of endoscopes. Excessive resections during the operation often have a negative imp...

Claims

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Application Information

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IPC IPC(8): A61B18/12A61B90/00
Inventor 郭洋左齐茹仪李佳
Owner WUHAN UNIV
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