Publications by authors named "Yangbo Jiang"
Article Synopsis
- The diagnosis and treatment of azoospermia rely on accurately identifying spermatogenic cells, but traditional methods are slow and subjective due to the complexity of the Johnsen score.
- The new SC-YOLO framework automates this classification, utilizing advanced modules to improve texture and shape recognition of sperm cells while minimizing model complexity.
- This framework not only enhances efficiency and accuracy in identifying spermatogenic cells but also introduces a streamlined Johnsen score criteria, with future studies aimed at optimizing performance and clinical use.
Background: Previous randomized controlled trials (RCTs) and meta-analyses have demonstrated the useless of FOLFIRI alone for previously treated patients with metastatic colorectal cancer (mCRC). The role of FOLFIRI regimen combined with biological therapy is unknown. The purpose of this meta-analysis is to evaluate the efficacy and safety of combining biological therapy with chemotherapy in previously treated patients with mCRC.
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