Computer extracted features of cancer nuclei from H&E stained tissues of tumor predicts response to nivolumab in non-small cell lung cancer. Read more about Computer extracted features of cancer nuclei from H&E stained tissues of tumor predicts response to nivolumab in non-small cell lung cancer.
Combination of CT derived radiomic features and lymphovascular invasion status to predict disease recurrence following trimodality therapy in non-small cell lung cancer. Read more about Combination of CT derived radiomic features and lymphovascular invasion status to predict disease recurrence following trimodality therapy in non-small cell lung cancer.
Novel Quantitative Imaging for Predicting Response to Therapy: Techniques and Clinical Applications Read more about Novel Quantitative Imaging for Predicting Response to Therapy: Techniques and Clinical Applications
High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection Read more about High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection
Advances in the computational and molecular understanding of the prostate cancer cell nucleus: CARLETON et al. Read more about Advances in the computational and molecular understanding of the prostate cancer cell nucleus: CARLETON et al.
Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers Read more about Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers
Abstract LB-021: Combination of quantitative histomorphometry with NF?B/p65 nuclear localization is better predictor of biochemical recurrence in prostate cancer patients Read more about Abstract LB-021: Combination of quantitative histomorphometry with NF?B/p65 nuclear localization is better predictor of biochemical recurrence in prostate cancer patients
Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings Read more about Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings
Spatial architecture and arrangement of tumor-infiltrating lymphocytes for predicting likelihood of recurrence in early-stage non-small cell lung cancer Read more about Spatial architecture and arrangement of tumor-infiltrating lymphocytes for predicting likelihood of recurrence in early-stage non-small cell lung cancer
Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site study Read more about Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site study
