Image classification method, device, computer readable storage medium and equipment
A classification method and image technology, applied in image analysis, computer components, calculations, etc., can solve problems such as classification uncertainty and achieve the effect of ensuring classification robustness
Active Publication Date: 2021-12-21
SHANGHAI MINGPIN MEDICAL DATA TECH CO LTD
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Problems solved by technology
However, in existing studies, a single-scale classifier is used for image classification, and the classification of different types of samples is uncertain, and the classification accuracy needs to be further improved.
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[0040] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.
[0041] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and shape of the compo...
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The invention discloses an image classification method, device, computer-readable storage medium and equipment. The method includes: acquiring an image to be processed; performing scaling processing on the image to be processed to obtain input images of different sizes; The input image is input into a pre-trained image classification model to classify the input image to obtain the classification probability of the input image, thereby obtaining the image category to which the image belongs; wherein, the image classification model is composed of a plurality of classifications of different scales The classifier of each scale corresponds to an input image of one size, and different classifiers correspond to input images of different sizes. The invention performs class processing on images through a multi-scale neural network, ensures classification robustness of multi-scale input images, and has significant advantages in image classification.
Description
technical field [0001] The present invention relates to the field of artificial intelligence, in particular to an image classification method, device, computer-readable storage medium and equipment. Background technique [0002] Medical images are an important basis for recording patient diagnosis, and obtaining high-quality medical images is of great significance for medical diagnosis. In recent years, with the rapid development of deep learning technology, convolutional neural network has become a research hotspot of many scholars, and has been successfully applied in the fields of image classification, target detection and pedestrian detection. However, in existing studies, a single-scale classifier is used for image classification, and the classification of different types of samples is uncertain, and the classification accuracy needs to be further improved. Contents of the invention [0003] In view of the above-mentioned shortcomings of the prior art, the object of ...
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IPC IPC(8): G06T7/00G06K9/42G06K9/62G06N3/04G06N3/08G06T3/40
CPCG06T7/0012G06N3/08G06T3/4007G06T2207/10081G06T2207/10088G06T2207/10104G06T2207/10108G06T2207/20076G06T2207/20081G06T2207/20084G06T2207/30004G06N3/047G06N3/048G06N3/045G06F18/241G06F18/2415
Inventor 姚娟娟钟南山
Owner SHANGHAI MINGPIN MEDICAL DATA TECH CO LTD