Tumor cell automatic identification system based on single-cell image recognition
An automatic recognition system and image recognition technology, applied in the field of tumor cell automatic recognition system, can solve the problems of slow recognition speed, low processing efficiency, inability to recognize the progress of cells and real-time transmission of results and database, and achieve fast recognition speed and processing high efficiency effect
Inactive Publication Date: 2020-05-19
HANGZHOU JUNHUI BIOTECHNOLOGY CO LTD
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[0004] The purpose of the present invention is to provide an automatic tumor cell identification system based on single-cell image recognition, which has fast recognition speed and high processing efficiency. The advantage of real-time transmission of the results and the database solves the problem that the existing automatic tumor cell identification system based on single-cell image recognition has a slow recognition speed and low processing efficiency, and when tumor cells appear, the recognition system cannot be alerted and reminded. The problem of real-time transmission of the progress and results of identifying cells to the database
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[0021] 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 making creative efforts belong to the protection scope of the present invention.
[0022] see Figure 1-4 , an automatic identification system for tumor cells based on single-cell image recognition, including a chip processor, the input end of the chip processor is electrically connected to an image processing module in one direction, and the input end of the image processing module is electrically connected to an image acquisition module in one direction module, the output end of the chip processor is electrically connected to the storage m...
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The invention relates to the technical field of tumor cell recognition, in particular to an tumor cell automatic recognition system based on single-cell image recognition. According to the invention,through arrangement of a chip processor, an image processing module, an image acquisition module, a storage module, a mobile data transmission module, a database, a mobile terminal, a medical centercloud end, a power supply module and a reminding module, the tumor cell automatic recognition system based on single-cell image recognition has the advantages of fast re cognition speed and high processing efficiency, and being capable of carrying out warning and reminding and transmitting the progress and the result of cell identification to a database in real time when tumor cells appear, and the problems that an existing automatic tumor cell recognition system based on single-cell image recognition is low in recognition speed and low in processing efficiency, and when the tumor cells appear, the recognition system cannot conduct warning and reminding, and the progress and result of cell recognition cannot be transmitted to a database in real time are solved.
Description
technical field [0001] The invention relates to the technical field of tumor cell identification, in particular to an automatic tumor cell identification system based on single-cell image identification. Background technique [0002] Tumor tissue differs from the normal tissue from which it originates in varying degrees in terms of cell morphology and tissue structure, and this difference is called atypia. Atypia is the morphological manifestation of abnormal differentiation of tumors. A small atypia indicates a high degree of differentiation, and a large atypia indicates a low degree of differentiation. Distinguishing the size of this atypia is the main histological basis for diagnosing tumors and determining benign and malignant tumors. The atypia of benign tumor cells is not obvious and is generally similar to its source tissue. Malignant tumors often have obvious atypia. [0003] In medical diagnosis, the use of computer technology for automatic cell identification a...
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IPC IPC(8): G16H30/20G06T7/00
CPCG06T7/0012G06T2207/10048G06T2207/10056G06T2207/30024G06T2207/30096G16H30/20
Inventor 阎灼辉
Owner HANGZHOU JUNHUI BIOTECHNOLOGY CO LTD