Oncology | Radiology Multiparametric MRI-based radiomics approach with deep transfer learning for preoperative prediction of Ki-67 status in sinonasal squamous cell carcinoma. June 28, 2024
Oncology | Pathology | Radiology Revolutionizing breast cancer Ki-67 diagnosis: ultrasound radiomics and fully connected neural networks (FCNN) combination method. June 9, 2024
Oncology | Pathology Reliability and Variability of Ki-67 Digital Image Analysis Methods for Clinical Diagnostics in Breast Cancer. January 27, 2024
Oncology | Pathology Use of Novel Open-Source Deep Learning Platform for Quantification of Ki-67 in Neuroendocrine Tumors – Analytical Validation. December 11, 2023
Oncology | Pathology | Radiology Deep Learning to Predict the Cell Proliferation and Prognosis of Non-Small Cell Lung Cancer Based on FDG-PET/CT Images. October 14, 2023
Pathology Ki-67 Quantification in Breast Cancer by Digital Imaging AI Software and its Concordance with Manual Method. May 16, 2023
Deep Learning | Oncology | Pathology Deep learning for the standardized classification of Ki-67 in vulva carcinoma: A feasibility study. August 13, 2021
Oncology | Pathology Predict Ki-67 Positive Cells in H&E-Stained Images Using Deep Learning Independently From IHC-Stained Images. September 9, 2020
Oncology | Pathology Automated quantitative analysis of Ki-67 staining and HE images recognition and registration based on whole tissue sections in breast carcinoma. May 30, 2020
Oncology | Radiology Preoperative Prediction of Ki-67 Status in Breast Cancer with Multiparametric MRI Using Transfer Learning. April 12, 2020
Oncology | Pathology An Advanced Deep Learning Approach for Ki-67 Stained Hotspot Detection and Proliferation Rate Scoring for Prognostic Evaluation of Breast Cancer. January 10, 2019