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AutoStitcherTM: An Automated Program for Accurate Reconstruction of Digitized Whole Histological Sections From Tissue Fragments

  • Read more about AutoStitcherTM: An Automated Program for Accurate Reconstruction of Digitized Whole Histological Sections From Tissue Fragments

A Quantitative Histomorphometric Classifier Identifies Role of Stromal and Epithelial Features in Prediction of Disease Recurrence in p16+Oropharyngeal Squamous Cell Carcinoma

  • Read more about A Quantitative Histomorphometric Classifier Identifies Role of Stromal and Epithelial Features in Prediction of Disease Recurrence in p16+Oropharyngeal Squamous Cell Carcinoma

A Quantitative Histomorphometric Classifier Identifies Role of Stromal and Epithelial Features in Prediction of Disease Recurrence in p16+Oropharyngeal Squamous Cell Carcinoma

  • Read more about A Quantitative Histomorphometric Classifier Identifies Role of Stromal and Epithelial Features in Prediction of Disease Recurrence in p16+Oropharyngeal Squamous Cell Carcinoma

A Novel Pathology-Radiology Fusion Workflow for Predicting Treatment Response and Patient Outcome in Rectal Cancers

  • Read more about A Novel Pathology-Radiology Fusion Workflow for Predicting Treatment Response and Patient Outcome in Rectal Cancers

A Feature Learning Framework for Reproducible Invasive Tumor Detection of Breast Cancer in Whole-Slide Images

  • Read more about A Feature Learning Framework for Reproducible Invasive Tumor Detection of Breast Cancer in Whole-Slide Images

Editorial Comment.

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Training a cell level classifier for detecting basal cell carcinoma by combining human visual attention maps with low lever handcrafted features

  • Read more about Training a cell level classifier for detecting basal cell carcinoma by combining human visual attention maps with low lever handcrafted features

Intratumoral and peritumoral radiomics for the pre-treatment prediction of pathological complete response to neo-adjuvant chemotherapy from breast DCE-MRI

  • Read more about Intratumoral and peritumoral radiomics for the pre-treatment prediction of pathological complete response to neo-adjuvant chemotherapy from breast DCE-MRI

Editorial Comment on Biparametric Prostate MRI in Prostate Cancer Detection

  • Read more about Editorial Comment on Biparametric Prostate MRI in Prostate Cancer Detection

Connecting Markov Randm Fields and Active Contour Models: Application to Gland Segmentation and Classification

  • Read more about Connecting Markov Randm Fields and Active Contour Models: Application to Gland Segmentation and Classification

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Case School of Engineering
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Rm 500
Cleveland, OH 44106

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10900 Euclid Ave.
Cleveland, Ohio 44106-7148

Phone: 216.368.4436

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