Yanmei Zhu

Weakly supervised artificial intelligence for multi-cancer detection of lymph node metastasis on whole slide images

Lili Sun, Shuilian Yao, Qi Jia, Yanmei Zhu

The accurate identification of lymph node metastasis is critical for cancer diagnosis/treatment but remains time-consuming and error-prone for pathologists. We develop MambaMIL+HiLA-MIL, a multiple instance learning model combining Vision Mamba with high-low attention separation mechanism. This model is compared against six baselines …

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Clinicopathological analysis of 21 cases of “Synchronous” endocervical and ovarian adenocarcinomas

Haining Zhang, He Zhang, Xiaozhuo Gao, Lili Sun et autres

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The impact of regional, seasonal, and environmental factors on the sleep status of urban residents in China

Youyang Qu, Shuhan Meng, Wanqiao Qi, Guihai Chen et autres

Abstract Background Sleep quality is influenced by various environmental factors, yet their impact across different regions and seasons in China remains understudied. Objective This study evaluated how environmental factors affect sleep quality, duration, and disorders among Chinese urban residents in different regions …

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Jellyfish-like porous hydrogel three-dimensional evaporator for efficient selective adsorption of Cs+

Yun Wang, Chenyang Li, Liping Fang, Yanmei Zhu et autres

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Real-world evidence and molecular subtyping in low-grade endometrioid carcinoma with adnexal involvement: a response to the commentary

Jiyan Shang, Tianming Li, Yanmei Zhu

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MRI quantitative parameters combined with pathological microvascular characteristics predict lymph node metastasis of cervical squamous cell carcinoma

Yanmei Zhu, Lili Sun, Fengying Qin, Huiting Pang et autres

Background Lymph node metastasis (LNM) greatly affects the prognosis and treatment of cervical squamous cell carcinoma (CSCC). Non-invasive imaging biomarkers that reflect tumor angiogenesis and vascular maturity may help predict LNM. Purpose To determine whether the magnetic resonance imaging (MRI) quantitative parameters …

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Construction of the Node—place—Jobs-housing model: Analysis of employment-residential ratio in subway station areas of Shenzhen, China’s highest construction density zone

Fang Liu, Jingyi Zhang, Yusong Zhu, Yanmei Zhu et autres

Transit-oriented development (TOD) is widely recognized as a land development mode designed to integrate residential and employment spaces, fostering a balanced distribution of jobs and housing while reducing reliance on motorized transportation. Nonetheless, some scholars argue that small-scale TOD station areas should …

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Multicenter research: tumor microenvironment features combined with tumor cell characteristics predict lymph node metastasis in early gastric cancer

Xiaozhuo Gao, Xiaoyan Zhao, Huihui Xu, Ning Zhang et autres

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Supportive care needs, quality of life and social support among laryngeal cancer patients undergoing total laryngectomy: a cohort study

Yanmei Zhu, Ping Liu

Abstract Background This study examines changes in supportive care needs, quality of life and social support among laryngeal cancer patients following total laryngectomy. Methods Ninety-nine patients were assessed pre-operatively (T0), one (T1), three (T2) and six months (T3) post-total laryngectomy using SCNS-SF34, …

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Advances in the study of reversing tumor drug resistance by targeting cancer-associated fibroblasts with nanomaterials

Xiaozhuo Gao, Lili Sun, Tianming Li, Pengfei Li et autres

Cancer-associated fibroblasts (CAFs) are key components of the tumor microenvironment (TME) which promote drug resistance by remodeling the extracellular matrix, generating an immunosuppressive microenvironment, and activating metabolic signaling pathways. Nanomaterials provide an effective method for specifically targeting CAF-mediated drug resistance because of …

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Online Teaching: Distilling Decomposed Multimodal Knowledge for Breast Cancer Biomarker Prediction

Tong Wang, Yanmei Zhu, Yaqi Du, Peng Gao et autres

Immunohistochemical (IHC) biomarker prediction greatly benefits from multimodal data fusion. However, the simultaneous acquisition of genomic and pathological data is often constrained by cost or technical limitations. To address this, we propose a novel Genomics-guided Multimodal Knowledge Decomposition Network (GMKDN), a framework …

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Multireader diagnostic performance of MRI-based Node-RADS for pelvic lymph node metastasis in endometrial carcinoma

Guanyu Liu, Xiaoyu Wang, Mingli Zhao, Yanmei Zhu et autres

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