PRACTICAL APPLICATION OF ARTIFICIAL INTELLIGENCE FOR ECOLOGICAL IMAGE ANALYSIS: TRIALLING DIFFERENT LEVELS OF TAXONOMIC CLASSIFICATION TO PROMOTE CONVOLUTIONAL NEURAL NETWORK PERFORMANCE

The integration of artificial intelligence (AI), particularly convolutional neural networks (CNNs), into ecological research presents new opportunities for the automated analysis of image-based data.This study explores the practical application of CNNs for Riding Apparel - Accessories - Winter Hats ecological image analysis by trialling annotation

Analysis of latest trials, comparing treatment schemes including chemotherapy with anti-EGFR monoclonal antibodies or bevacizumab is presented in this article.The Arkansas data in these trials is inconsistent, but detailed analysis of FIRE-3 trial allows to distinguish a wild-type RAS patient group that benefits most from chemotherapy with cetuxima