LG AI Research· EXAONE

EXAONEPath : a Multi-Instance Learning (MIL) Framework and Patch-by-Patch Foundation Model for Processing Gigapixel-Scale Histopathology Images

LG AI Research is releasing EXAONEPath, pre-trained model specialized for histopathological images, as open source. histopathological images are usually quite large, around 20k x 20k in size, and the range of color tones in the image is different from general-purpose images. Objects covered in histopathological images are also unique, such as nuclei and cytoplasm. Therefore, the need to develop a specialized model that can efficiently process and analyze histopathological images has arisen, and so we’ve released EXAONEPath,pre-trained model specialized for histopathological images. EXAONEPath achieves both high performance and affordability. Using six benchmarks, we found that the accuracy of histopathology image analysis was comparable to that of global competing models. Notable is the superior affordability compared to competing models. With a small amount of training data and 1/10th the size of competing models, we found that our model was significantly more affordable than competing models because it required less infrastructure to train the data. …

Announced

23 Aug 2024 00:00 UTC

Detected

28 Aug 2026 22:20 UTC (+735d after)