Yunrui Ye
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View article: AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology
AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology Open
Background: Whole-slide image (WSI) is foundational for artificial intelligence in tumor diagnosis, treatment planning, and prognosis prediction. Efficient management of WSI labels is crucial for clinical digitalization; however, manual or…
View article: Correction: Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancer
Correction: Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancer Open
View article: Value of mammographic microcalcifications and MRI-enhanced lesions in the evaluation of residual disease after neoadjuvant therapy for breast cancer
Value of mammographic microcalcifications and MRI-enhanced lesions in the evaluation of residual disease after neoadjuvant therapy for breast cancer Open
MRI is more accurate for evaluating residual tumor size in breast cancer. In our study, the extent of microcalcifications on MG after NAT had nearly no correlation with the pathological size of the residual tumor. Therefore, residual tumor…
View article: Artificial intelligence-assisted analysis for tumor-immune interaction within the invasive margin of colorectal cancer
Artificial intelligence-assisted analysis for tumor-immune interaction within the invasive margin of colorectal cancer Open
In colorectal cancer (CRC), both tumor invasion and immunological analysis at the tumor invasive margin (IM) are significantly associated with patient prognosis, but have traditionally been reported independently. We propose a new scoring …
View article: Automated assessment of necrosis tumor ratio in colorectal cancer using an artificial intelligence‐based digital pathology analysis
Automated assessment of necrosis tumor ratio in colorectal cancer using an artificial intelligence‐based digital pathology analysis Open
Background With the advance in digital pathology and artificial intelligence (AI)‐powered approaches, necrosis is proposed as a marker of poor prognosis in colorectal cancer (CRC). However, most previous studies quantified necrosis merely …
View article: Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancer
Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancer Open
View article: Multiple-parameter MRI after neoadjuvant systemic therapy combining clinicopathologic features in evaluating axillary pathologic complete response in patients with clinically node-positive breast cancer
Multiple-parameter MRI after neoadjuvant systemic therapy combining clinicopathologic features in evaluating axillary pathologic complete response in patients with clinically node-positive breast cancer Open
Objective: This study aimed to evaluate axillary pathologic complete response (pCR) after neoadjuvant systemic therapy (NST) in clinically node-positive breast cancer (BC) patients based on post-NST multiple-parameter MRI and clinicopathol…
View article: Artificial intelligence for quantifying Crohn’s-like lymphoid reaction and tumor-infiltrating lymphocytes in colorectal cancer
Artificial intelligence for quantifying Crohn’s-like lymphoid reaction and tumor-infiltrating lymphocytes in colorectal cancer Open
View article: Artificial Intelligence-Assisted Analysis of Tumor Growth Pattern, Tumor-Infiltrating Lymphocytes, And Survival from Colorectal Cancer
Artificial Intelligence-Assisted Analysis of Tumor Growth Pattern, Tumor-Infiltrating Lymphocytes, And Survival from Colorectal Cancer Open