2 papers
cs.CL2026
Performance Evaluation of Open-Source Large Language Models for Assisting Pathology Report Writing in Japanese
Masataka Kawai, Singo Sakashita, Shumpei Ishikawa +8
The performance of large language models (LLMs) for supporting pathology report writing in Japanese remains unexplored. We evaluated seven open-source LLMs from three perspectives:…
cs.CV2023
Large-scale pretraining on pathological images for fine-tuning of small pathological benchmarks
Masataka Kawai, Noriaki Ota, Shinsuke Yamaoka
Pretraining a deep learning model on large image datasets is a standard step before fine-tuning the model on small targeted datasets. The large dataset is usually general images (e…