Image recognition method for detecting human papilloma virus infectious lesions

A papillomavirus and image recognition technology, applied in the field of image recognition, can solve the problems of high cost and high complexity affecting the diagnosis and treatment plan of patients

Pending Publication Date: 2020-10-27
福建省妇幼保健院
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  • Abstract
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Problems solved by technology

[0004] Due to the high complexity and high cost of the overall process of cervical cancer screening, more advanced cervical cancer screening technology is often not available in resource-poor areas, so the incidence and mortality of cervical cancer in underdeveloped areas are still high
At present, colposcopy has become one of the important steps in the clinical screening of early cervical cancer, and it directly affects the diagnosis and treatment of patients. Whether a patient is infected with human papillomavirus is mainly judged based on colposcopy images and relying on experience. Quickly and accurately determine whether cells are infected by HPV

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  • Image recognition method for detecting human papilloma virus infectious lesions
  • Image recognition method for detecting human papilloma virus infectious lesions
  • Image recognition method for detecting human papilloma virus infectious lesions

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Embodiment Construction

[0071] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0072] figure 1 Shown is a flow chart of the steps of the image recognition method for detecting human papillomavirus infectious lesions of the present invention, including the following steps:

[0073] Step 1. Collect lesion sample images; the lesion sample images mentioned in this application refer to a certain number of colposcope images with lesions that are used to learn and build a training classification model. The specific acquisition method is: select a h...

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Abstract

The invention relates to the technical field of image recognition, in particular to an image recognition method for detecting human papilloma virus infectious lesions. The method comprises the following steps: acquiring a lesion sample image; preprocessing the lesion sample image; segmenting the preprocessed lesion sample image into a plurality of regions by adopting a particle swarm fuzzy C-meansmethod; constructing lesion features of the segmented regions of the lesion sample image through a feature point detector; and carrying out lesion identification on the to-be-detected image area by adopting a bidirectional matching method. According to the technical scheme provided by the invention, an efficient and accurate image detection method can be realized as an auxiliary diagnosis tool for screening human papilloma virus infectious lesions aiming at the acquired colposcope image.

Description

technical field [0001] The present application relates to the technical field of image recognition, in particular to an image recognition method for detecting human papillomavirus infectious lesions. Background technique [0002] Cervical cancer is one of the most common gynecological malignancies in my country. Its incidence is second only to breast cancer and ranks second among female malignancies, seriously affecting the physical and mental health of women. There are 528,000 new cases of cervical cancer each year in the world, including 266,000 deaths. There are 97,500 new cases of cervical cancer in mainland China every year, accounting for about one-fifth of the global cases, and 30,500 deaths due to cervical cancer every year. With the incidence and death of cervical cancer increasing year by year, and the incidence population is getting younger, the prevention, diagnosis and treatment of cervical lesions / cervical cancer are extremely important. [0003] Human papill...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06K9/62G06N3/00
CPCG06N3/006G06V10/443G06V2201/03G06F18/22G06F18/23213Y02A90/10
Inventor 孙蓬明陈建翠柳培忠阮冠宇顾培婷董滨华杜永兆
Owner 福建省妇幼保健院
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