Yani B. Wei

Guangzhou, China

Last Updated: 09/26/2026

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Found 15 publications

Histological Categorization of Desmoplastic Reaction in Triple-Negative Breast Cancer: Its Relevance to Neoadjuvant Chemoimmunotherapy Response and Tumor Biology.

Histological Categorization of Desmoplastic Reaction in Triple-Negative Breast Cancer: Its Relevance to Neoadjuvant Chemoimmunotherapy Response and Tumor Biology.

Journal: Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Published: July 31, 2025

Large atypical perilobular hemangioma in the breast: a potential misdiagnosis as angiosarcoma.

Large atypical perilobular hemangioma in the breast: a potential misdiagnosis as angiosarcoma.

Journal: Diagnostic pathology
Published: May 08, 2025

Clinicopathologic and proteomic characteristics of low-grade undifferentiated spindle cell sarcoma.

Clinicopathologic and proteomic characteristics of low-grade undifferentiated spindle cell sarcoma.

Journal: Frontiers in molecular biosciences
Published: March 11, 2025

AI-powered prediction model for neoadjuvant chemotherapy efficacy: comprehensive analysis of breast cancer histological images.

AI-powered prediction model for neoadjuvant chemotherapy efficacy: comprehensive analysis of breast cancer histological images.

Journal: NPJ precision oncology
Published: December 07, 2024

Collagen Density Is Associated With Pathological Complete Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer Patients.

Collagen Density Is Associated With Pathological Complete Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer Patients.

Journal: Journal of surgical oncology
Published: August 05, 2024

Diagnostic text-guided representation learning in hierarchical classification for pathological whole slide image.

Diagnostic text-guided representation learning in hierarchical classification for pathological whole slide image.

Journal: Medical image analysis
Published: July 13, 2024

A deep learning method for predicting the origins of cervical lymph node metastatic cancer on digital pathological images.

A deep learning method for predicting the origins of cervical lymph node metastatic cancer on digital pathological images.

Journal: iScience
Published: March 08, 2024

Pathology diagnosis of intraoperative frozen thyroid lesions assisted by deep learning.

Pathology diagnosis of intraoperative frozen thyroid lesions assisted by deep learning.

Journal: BMC cancer
Published: February 27, 2024

Combining the tumor-stroma ratio with tumor-infiltrating lymphocytes improves the prediction of pathological complete response in breast cancer patients.

Combining the tumor-stroma ratio with tumor-infiltrating lymphocytes improves the prediction of pathological complete response in breast cancer patients.

Journal: Breast cancer research and treatment
Published: April 15, 2023

Predicting neoadjuvant chemotherapy benefit using deep learning from stromal histology in breast cancer.

Predicting neoadjuvant chemotherapy benefit using deep learning from stromal histology in breast cancer.

Journal: NPJ breast cancer
Published: May 17, 2022

Tumor-Infiltrating Lymphocytes Improve Magee Equation-Based Prediction of Pathologic Complete Response in HR-Positive/HER2-Negative Breast Cancer.

Tumor-Infiltrating Lymphocytes Improve Magee Equation-Based Prediction of Pathologic Complete Response in HR-Positive/HER2-Negative Breast Cancer.

Journal: American journal of clinical pathology
Published: November 13, 2021

Clinical and genomic analyses of neuroendocrine neoplasms of the breast.

Clinical and genomic analyses of neuroendocrine neoplasms of the breast.

Journal: Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Published: July 07, 2021
Showing 1-12 of 15

Last Updated: 09/26/2026