Apparatus and method for identifying regions of interest during slide digitization

An apparatus for identifying regions of interest during slide digitization, wherein the apparatus comprises:

• at least a processor;
• and
• a memory communicatively connected to the at least a processor, wherein the memory comprises instructions configuring the at least a processor to:
• receive identification data as a function of a user dataset associated with at least a pathology slide;
• identify one or more regions of interest within the at least a pathology slide as a function of the user dataset;
• identify at least one scan parameter as a function of the one or more regions of interest;
• train a machine learning model iteratively with identification training data, wherein the identification training data correlates a plurality of pathology slides and the user dataset to a plurality of regions of interest;
• calculate an accuracy score for the machine learning model, wherein the accuracy score identifies regions of interest within a plurality of pathology slides;
• modify the pathology slide by the identification training data as a function of user feedback and accuracy score;
• retrain the machine learning model by iteratively adding outputs of the machine learning model to the plurality of pathology slides and the user data set;
• generate a digitized slide by scanning the at least a modified pathology slide as a function of the at least one scan parameter;
• process images from the modified pathology slide, wherein processing the images comprises enhancing at least a region of interest by performing a color space conversation operation;
• and
• display the digitized slide using a user interface at a display device.