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Image processing method, device, equipment and readable storage medium

An image processing and image technology, applied in the image field, can solve the problems of low efficiency of pathological image processing and high calculation redundancy, and achieve the effect of reducing calculation redundancy, improving processing efficiency, and reducing the number of image redundant interceptions

Active Publication Date: 2021-08-17
SHENZHEN IMSIGHT MEDICAL TECH CO LTD
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Problems solved by technology

[0003] The main purpose of the present invention is to provide an image processing method, device, equipment and readable storage medium, aiming to solve the technical problem of high computational redundancy in the probability prediction process of the existing pathological images, resulting in low processing efficiency of pathological images

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  • Image processing method, device, equipment and readable storage medium
  • Image processing method, device, equipment and readable storage medium
  • Image processing method, device, equipment and readable storage medium

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Embodiment Construction

[0105] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0106] The present invention provides an image processing method. In the first embodiment of the image processing method of the present invention, refer to figure 1 , the image processing method includes:

[0107] Receive the image to be processed, perform region division processing on the image to be processed, and obtain each region of interest; call the pre-stored full convolution network structure model to detect each region of interest, and obtain each probability image segment, wherein the The pre-stored full convolutional network structure model includes a full convolutional structure that replaces the linear regression layer with an equivalent convolutional layer, and the pre-stored full convolutional network structure model removes the blank filling operation in the full convolutional structure layer and an ...

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Abstract

The invention discloses an image processing method, device, equipment and a readable storage medium. The image processing method includes: receiving an image to be processed, and performing region division processing on the image to be processed to obtain each region of interest; calling a pre-stored full convolutional network structure model to detect each region of interest to obtain each region of interest. A probabilistic image segment, wherein the pre-stored fully convolutional network structure model includes a fully convolutional structure that replaces a linear regression layer with an equivalent convolutional layer, and the pre-stored fully convolutional network structure model removes the full-volume The blank filling operation layer and the up-sampling layer in the product structure; performing synthesis processing on each probability image segment to obtain the target probability image. The invention solves the technical problem of high calculation redundancy in the high-density prediction process of the existing pathological images, resulting in low processing efficiency of the pathological images.

Description

technical field [0001] The present invention relates to the field of image technology, in particular to an image processing method, device, equipment and readable storage medium. Background technique [0002] At present, the specific process of pathological image processing mostly uses a sliding window frame to continuously slide to intercept picture blocks, and input the intercepted picture blocks into a specific convolutional neural network (Convolutional Neural Networks, CNN for short) to obtain each image block. The predicted values ​​of the blocks are finally spliced ​​to form the entire probability map. However, due to the continuous sliding of the sliding window frame to intercept the picture blocks, there are inevitably overlapping redundant areas, which leads to high calculation redundancy in the prediction process, resulting in the pathological image. The processing efficiency is low. Contents of the invention [0003] The main purpose of the present invention i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H30/20G06T7/00G06N3/04G06V10/764
CPCG06T7/0012G16H30/20G06T2207/30004G06T2207/20104G06T2207/20084G06N3/045G06T7/11G16H50/20G16H30/40G06N3/082G06V10/82G06V10/7715G06V10/764G06N3/042G06F18/213G06T5/50G06T2207/20101G06T2207/20221
Inventor 林黄靖窦琪陈浩
Owner SHENZHEN IMSIGHT MEDICAL TECH CO LTD
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