Titlebook: ;

LIMIT

知識分子

沒血色

粘

jungle

,Regional Detection of?Cervical Lesions Based on?Self-attention Mechanism and?Multi-scale Feature Enhancement,ffect of early preventive treatment. This paper proposes a cervical lesion area detection network model (CT-YOLOv5) based on the improved YOLOv5s algorithm, accurately detecting the cervical disease area and disease level on cervical images collected by colposcopy. The transformers module was added

DEI

危機(jī)

mucous-membrane

半圓鑿

Identifying Speakers and?Addressees of?Quotations in?Novels with?Prompt Learningt learning-based methods for speaker and addressee identification based on fine-tuned pre-trained models. Experiments on both Chinese and English datasets show the effectiveness of the proposed methods, which outperform methods based on zero-shot and few-shot large language models.

寄生蟲