Training method and device for network model, image processing method and device, and device
A network model and training method technology, applied in the field of deep learning, can solve the problems of not significantly reducing the workload of image labeling, and the performance cannot reach the level of auxiliary diagnosis, so as to reduce the dependence on accurate labeling, reduce the workload, and accurately and automatically classify Effect
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[0023] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0024] Application overview
[0025] In multi-instance learning, the training set consists of a set of multi-instance bags with categorical labels, and each multi-bag contains several instances without categorical labels. If a multi-instance bag (bag) contains at least one positive instance (instance), the bag is marked as a positive-class multi-instance bag (positive bag). If all the examples of a multi-example bag are negative ex...
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