Oncology | Pathology The prediction of pCR and chemosensitivity for breast cancer patients using DLG3, RADL and Pathomics signatures based on machine learning and deep learning. May 28, 2024
Oncology | Radiology An advanced nomogram model using deep learning radiomics and clinical data for predicting occult lymph node metastasis in lung adenocarcinoma. March 30, 2024
Oncology | Pathology | Radiology Development and validation of a deep learning signature for predicting lymphovascular invasion and survival outcomes in clinical stage IA lung adenocarcinoma: A multicenter retrospective cohort study. February 7, 2024
Gastroenterology | Oncology | Pathology | Radiology A comprehensive radiopathological nomogram for the prediction of pathological staging in gastric cancer using CT-derived and WSI-based features. December 23, 2023
Oncology | Radiology Applying deep learning to segmentation of murine lung tumors in pre-clinical micro-computed tomography. December 21, 2023
Oncology | Radiology Radiomics of metastatic brain tumor as a predictive image biomarker of progression-free survival in patients with non-small-cell lung cancer with brain metastasis receiving tyrosine kinase inhibitors. November 20, 2023
Hematology | Oncology | Radiology CT-based deep learning radiomics and hematological biomarkers in the assessment of pathological complete response to neoadjuvant chemoradiotherapy in patients with esophageal squamous cell carcinoma: A two-center study. October 15, 2023
Oncology | Pulmonology | Radiology Deep radiomic model based on the sphere-shell partition for predicting treatment response to chemotherapy in lung cancer. June 15, 2023
Oncology | Pathology Predicting oncogene mutations of lung cancer using deep learning and histopathologic features on whole-slide images. July 29, 2022
Pathology | Radiology Deep learning for predicting subtype classification and survival of lung adenocarcinoma on computed tomography. June 4, 2021
Neurology | Oncology | Radiology Construction of a prognostic immune signature for lower grade glioma that can be recognized by MRI radiomics features to predict survival in LGG patients. March 24, 2021
Oncology | Pathology Using deep learning to predict anti-PD-1 response in melanoma and lung cancer patients from histopathology images. October 31, 2020