Computerized Quantitation of Tumor Cell Multinucleation is Strongly Prognostic for p16-Positive Oropharyngeal Squamous Cell Carcinoma Read more about Computerized Quantitation of Tumor Cell Multinucleation is Strongly Prognostic for p16-Positive Oropharyngeal Squamous Cell Carcinoma
Computerized nuclear morphometric features from H\&E slide images are prognostic of recurrence and predictive of added benefit of adjuvant chemotherapy in early stage non-small cell lung cancer Read more about Computerized nuclear morphometric features from H\&E slide images are prognostic of recurrence and predictive of added benefit of adjuvant chemotherapy in early stage non-small cell lung cancer
Computational Histomorphometric Classifier Identifies Higher Risk Patients Who Might Benefit from Adjuvant Radiation within Clinically Defined" Low-Risk" Oral Cavity Squamous Cell Carcinomas Read more about Computational Histomorphometric Classifier Identifies Higher Risk Patients Who Might Benefit from Adjuvant Radiation within Clinically Defined" Low-Risk" Oral Cavity Squamous Cell Carcinomas
Tumor Cell Multinucleation is More Frequent in African-American Oropharyngeal Squamous Cell Carcinoma Patients Than Caucasian-American Ones-Implications for Outcome Differences Read more about Tumor Cell Multinucleation is More Frequent in African-American Oropharyngeal Squamous Cell Carcinoma Patients Than Caucasian-American Ones-Implications for Outcome Differences
The Spatial Patterns of Tumor-Infiltrating Lymphocytes (TILs) are More Prognostic Than TIL Density in p16+ Oropharyngeal Squamous Cell Carcinoma Patients Read more about The Spatial Patterns of Tumor-Infiltrating Lymphocytes (TILs) are More Prognostic Than TIL Density in p16+ Oropharyngeal Squamous Cell Carcinoma Patients
Predicting HPV Status of Oropharyngeal Squamous Cell Carcinoma Patients Using Handcrafted Histomorphometric and Deep Learning Features Read more about Predicting HPV Status of Oropharyngeal Squamous Cell Carcinoma Patients Using Handcrafted Histomorphometric and Deep Learning Features
Introduction to the special section on Medical Image Processing with Deep Learning (SI-mip) Read more about Introduction to the special section on Medical Image Processing with Deep Learning (SI-mip)
Glandular orientation and shape determined by computational pathology could identify aggressive tumor for early colon carcinoma: a triple-center study Read more about Glandular orientation and shape determined by computational pathology could identify aggressive tumor for early colon carcinoma: a triple-center study
Deep learning-based histopathological image analysis for automated detection and staging of melanoma Read more about Deep learning-based histopathological image analysis for automated detection and staging of melanoma
Computerized Nuclear Morphology Features Aid in Diagnosis of Cell Clusters on Digitized Bile Duct Brushing Slides Read more about Computerized Nuclear Morphology Features Aid in Diagnosis of Cell Clusters on Digitized Bile Duct Brushing Slides
