| CPC A61B 5/0075 (2013.01) [A61B 5/0071 (2013.01); A61B 5/7267 (2013.01); G06T 7/0012 (2013.01); G06V 20/69 (2022.01); G06T 2207/10048 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01)] | 9 Claims |

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1. A method for determining a tissue type of a tissue of an animal or a human individual, the method comprising:
detecting, by a radiation sensor, electromagnetic radiation emitted by a tissue sample of the tissue, the radiation sensor providing a sensor signal according to the detected electromagnetic radiation; and
training an analysis unit using at least one known dataset from the same animal or the same human individual before determining the tissue type of the tissue sample; and
determining the tissue type as normal or abnormal, and outputting the tissue type, determining the tissue type comprising analyzing, by the analysis unit, the sensor signal,
wherein the analysis unit is a self-learning analysis unit that is initially trained using training datasets based on at least one model based on a machine learning method, the training of the analysis unit being performed using the training datasets, each of the training datasets comprising a training sensor signal with an associated training tissue type,
wherein after determining the tissue type of the tissue sample, the method further comprises retraining the analysis unit taking into account a dataset determined during a procedure, the dataset being associated with the determining of the tissue type of the tissue of the animal or the human individual, and
wherein the retraining comprises:
reaching a specified target value in the determining of the tissue type of the tissue of the animal or the human individual; and
performing the retraining after the specified target value is reached.
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