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Computer-extracted features relating to spatial arrangement of tumor infiltrating lymphocytes to predict response to nivolumab in non-small cell lung cancer (NSCLC).

  • Read more about Computer-extracted features relating to spatial arrangement of tumor infiltrating lymphocytes to predict response to nivolumab in non-small cell lung cancer (NSCLC).

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

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Case School of Engineering
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Nord Hall
2095 Martin Luther King Jr Dr
Rm 500
Cleveland, OH 44106

Mailing Address:
10900 Euclid Ave.
Cleveland, Ohio 44106-7148

Phone: 216.368.4436

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