Related references
Note: Only part of the references are listed.Breast Cancer, Version 3.2018 Featured Updates to the NCCN Guidelines
Matthew P. Goetz et al.
JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK (2019)
Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer
Oscar G. F. Geessink et al.
CELLULAR ONCOLOGY (2019)
Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
Jakob Nikolas Kather et al.
PLOS MEDICINE (2019)
Applications of machine learning in drug discovery and development
Jessica Vamathevan et al.
NATURE REVIEWS DRUG DISCOVERY (2019)
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study
Philipp Tschandl et al.
LANCET ONCOLOGY (2019)
Artificial Intelligence-Based Breast Cancer Nodal Metastasis Detection
Yun Liu et al.
ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE (2019)
Spatial Architecture and Arrangement of Tumor-Infiltrating Lymphocytes for Predicting Likelihood of Recurrence in Early-Stage Non-Small Cell Lung Cancer
German Corredor et al.
CLINICAL CANCER RESEARCH (2019)
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
Kunal Nagpal et al.
NPJ DIGITAL MEDICINE (2019)
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Cynthia Rudin
NATURE MACHINE INTELLIGENCE (2019)
HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides
Andrew Janowczyk et al.
JCO CLINICAL CANCER INFORMATICS (2019)
Histo-genomics: digital pathology at the forefront of precision medicine
Ivraym Barsoum et al.
DIAGNOSIS (2019)
Relevance of Spatial Heterogeneity of Immune Infiltration for Predicting Risk of Recurrence After Endocrine Therapy of ER plus Breast Cancer
Andreas Heindl et al.
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2018)
Relevance of Spatial Heterogeneity of Immune Infiltration for Predicting Risk of Recurrence After Endocrine Therapy of ER plus Breast Cancer
Andreas Heindl et al.
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2018)
Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists
H. A. Haenssle et al.
ANNALS OF ONCOLOGY (2018)
Automatic classification of ovarian cancer types from cytological images using deep convolutional neural networks
Miao Wu et al.
BIOSCIENCE REPORTS (2018)
Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER plus breast cancer
Jon Whitney et al.
BMC CANCER (2018)
NCCN Guidelines Updates: Prostate Cancer and Prostate Cancer Early Detection
Peter H. Carroll et al.
JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK (2018)
Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers
Cheng Lu et al.
LABORATORY INVESTIGATION (2018)
Chromatin organisation and cancer prognosis: a pan-cancer study
Andreas Kleppe et al.
LANCET ONCOLOGY (2018)
Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies
Babak Ehteshami Bejnordi et al.
MODERN PATHOLOGY (2018)
Adjuvant Chemotherapy Guided by a 21-Gene Expression Assay in Breast Cancer
J. A. Sparano et al.
NEW ENGLAND JOURNAL OF MEDICINE (2018)
High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection
Angel Cruz-Roa et al.
PLOS ONE (2018)
Automatic labeling of molecular biomarkers of immunohistochemistry images using fully convolutional networks
Fahime Sheikhzadeh et al.
PLOS ONE (2018)
Predicting cancer outcomes from histology and genomics using convolutional networks
Pooya Mobadersany et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)
Histopathology: ditch the slides, because digital and 3D are on show
Ilaria Jansen et al.
WORLD JOURNAL OF UROLOGY (2018)
Deep learning based tissue analysis predicts outcome in colorectal cancer
Dmitrii Bychkov et al.
SCIENTIFIC REPORTS (2018)
Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images
Joel Saltz et al.
CELL REPORTS (2018)
1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset
Geert Litjens et al.
GIGASCIENCE (2018)
Deep learning nuclei detection: A simple approach can deliver state-of-the-art results
Henning Hoefener et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2018)
Image-based risk score to predict recurrence of ER plus breast cancer in ECOG-ACRIN Cancer Research Group E2197.
Nishant Verma et al.
JOURNAL OF CLINICAL ONCOLOGY (2018)
Computer-extracted features relating to spatial arrangement of tumor infiltrating lymphocytes to predict response to nivolumab in non-small cell lung cancer (NSCLC).
Cristian Barrera et al.
JOURNAL OF CLINICAL ONCOLOGY (2018)
Computer extracted features of cancer nuclei from H&E stained tissues of tumor predicts response to nivolumab in non-small cell lung cancer.
Xiangxue Wang et al.
JOURNAL OF CLINICAL ONCOLOGY (2018)
Computer-extracted stromal features of African-Americans versus Caucasians from H&E slides and impact on prognosis of biochemical recurrence
Hersh Kumar Bhargava et al.
JOURNAL OF CLINICAL ONCOLOGY (2018)
Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning
Nicolas Coudray et al.
NATURE MEDICINE (2018)
Deep Focus: Detection of out-of-focus regions in whole slide digital images using deep learning
Cagier Senaras et al.
PLOS ONE (2018)
Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site study
Patrick Leo et al.
SCIENTIFIC REPORTS (2018)
Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer
David F. Steiner et al.
AMERICAN JOURNAL OF SURGICAL PATHOLOGY (2018)
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
John R. Zech et al.
PLOS MEDICINE (2018)
Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype
Heather D. Couture et al.
NPJ BREAST CANCER (2018)
Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States
Filippo Pesapane et al.
INSIGHTS INTO IMAGING (2018)
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
Babak Ehteshami Bejnordi et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2017)
MRF-ANN: a machine learning approach for automated ER scoring of breast cancer immunohistochemical images
T. Mungle et al.
JOURNAL OF MICROSCOPY (2017)
Gland segmentation in colon histology images: The glas challenge contest
Korsuk Sirinukunwattana et al.
MEDICAL IMAGE ANALYSIS (2017)
Computer-assisted measurement of primary tumor area is prognostic of recurrence-free survival in stage IB melanoma patients
Brooke E. Rosenbaum et al.
MODERN PATHOLOGY (2017)
An oral cavity squamous cell carcinoma quantitative histomorphometric-based image classifier of nuclear morphology can risk stratify patients for disease-specific survival
Cheng Lu et al.
MODERN PATHOLOGY (2017)
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva et al.
NATURE (2017)
Automated Classification of Lung Cancer Types from Cytological Images Using Deep Convolutional Neural Networks
Atsushi Teramoto et al.
BIOMED RESEARCH INTERNATIONAL (2017)
Microscopy with ultraviolet surface excitation for rapid slide-free histology
Farzad Fereidouni et al.
NATURE BIOMEDICAL ENGINEERING (2017)
Classification of breast cancer histology images using Convolutional Neural Networks
Teresa Araujo et al.
PLOS ONE (2017)
Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent
Angel Cruz-Roa et al.
SCIENTIFIC REPORTS (2017)
Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images
Xiangxue Wang et al.
SCIENTIFIC REPORTS (2017)
Nuclear Shape and Architecture in Benign Fields Predict Biochemical Recurrence in Prostate Cancer Patients Following Radical Prostatectomy: Preliminary Findings
George Lee et al.
EUROPEAN UROLOGY FOCUS (2017)
Tumour heterogeneity poses a significant challenge to cancer biomarker research
Karolina Cyll et al.
BRITISH JOURNAL OF CANCER (2017)
A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers
David Romo-Bucheli et al.
CYTOMETRY PART A (2017)
Stain Normalization using Sparse AutoEncoders (StalloSA): Application to digital pathology
Andrew Janowczyk et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2017)
Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology
Rohit Bhargava et al.
ANNUAL REVIEW OF BIOMEDICAL ENGINEERING, VOL 18 (2016)
Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology
Shoshana B. Ginsburg et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images
Abhishek Vahadane et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Enabling digital pathology in the diagnostic setting: navigating through the implementation journey in an academic medical centre
Chee Leong Cheng et al.
JOURNAL OF CLINICAL PATHOLOGY (2016)
Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles
Jocelyn Barker et al.
MEDICAL IMAGE ANALYSIS (2016)
Image analysis and machine learning in digital pathology: Challenges and opportunities
Anant Madabhushi et al.
MEDICAL IMAGE ANALYSIS (2016)
A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images
Jun Xu et al.
NEUROCOMPUTING (2016)
70-Gene Signature as an Aid to Treatment Decisions in Early-Stage Breast Cancer
F. Cardoso et al.
NEW ENGLAND JOURNAL OF MEDICINE (2016)
New Trends of Emerging Technologies in Digital Pathology
Gloria Bueno et al.
PATHOBIOLOGY (2016)
Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features
Kun-Hsing Yu et al.
NATURE COMMUNICATIONS (2016)
PD-L1 biomarker testing for non-small cell lung cancer: truth or fiction?
Claud Grigg et al.
JOURNAL FOR IMMUNOTHERAPY OF CANCER (2016)
Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images
Cheng Lu et al.
SCIENTIFIC REPORTS (2016)
Interobserver Variation Among Pathologists in Evaluating Perineural Invasion for Oral Squamous Cell Carcinoma
Angela C. Chi et al.
HEAD & NECK PATHOLOGY (2016)
Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images
Patrick Leo et al.
JOURNAL OF MEDICAL IMAGING (2016)
Applications and challenges of digital pathology and whole slide imaging
C. Higgins
BIOTECHNIC & HISTOCHEMISTRY (2015)
The path to routine use of genomic biomarkers In the cancer clinic
Paul C. Boutros
GENOME RESEARCH (2015)
Diagnostic Concordance Among Pathologists Interpreting Breast Biopsy Specimens (vol 313, pg 1122, 2015)
Joann G. Elmore et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2015)
Novel genotype-phenotype associations in human cancers enabled by advanced molecular platforms and computational analysis of whole slide images
Lee A. D. Cooper et al.
LABORATORY INVESTIGATION (2015)
Modelling the spatial heterogeneity and molecular correlates of lymphocytic infiltration in triple-negative breast cancer
Yinyin Yuan
JOURNAL OF THE ROYAL SOCIETY INTERFACE (2015)
Diagnostic Concordance Among Pathologists interpreting Breast Biopsy Specimens
Joann G. Elmore et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2015)
The current and future state of companion diagnostics
Amit Agarwal et al.
PHARMACOGENOMICS & PERSONALIZED MEDICINE (2015)
A Quantitative Histomorphometric Classifier (QuHbIC) Identifies Aggressive Versus Indolent p16-Positive Oropharyngeal Squamous Cell Carcinoma
James S. Lewis et al.
AMERICAN JOURNAL OF SURGICAL PATHOLOGY (2014)
A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution
Adnan Mujahid Khan et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2014)
Digital pathology and image analysis in tissue biomarker research
Peter W. Hamilton et al.
METHODS (2014)
Co-Occurring Gland Angularity in Localized Subgraphs: Predicting Biochemical Recurrence in Intermediate-Risk Prostate Cancer Patients
George Lee et al.
PLOS ONE (2014)
Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features
Haibo Wang et al.
JOURNAL OF MEDICAL IMAGING (2014)
Validating Whole Slide Imaging for Diagnostic Purposes in Pathology Guideline from the College of American Pathologists Pathology and Laboratory Quality Center
Liron Pantanowitz et al.
ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE (2013)
Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER plus Breast Cancer From Entire Histopathology Slides
Ajay Basavanhally et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2013)
Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology data
David A. Gutman et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2013)
Discovery and Validation of a Prostate Cancer Genomic Classifier that Predicts Early Metastasis Following Radical Prostatectomy
Nicholas Erho et al.
PLOS ONE (2013)
Machine-Based Morphologic Analysis of Glioblastoma Using Whole-Slide Pathology Images Uncovers Clinically Relevant Molecular Correlates
Jun Kong et al.
PLOS ONE (2013)
Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics
Andrea Sottoriva et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2013)
Deep Learning: Methods and Applications
Li Deng et al.
FOUNDATIONS AND TRENDS IN SIGNAL PROCESSING (2013)
A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies
Scott Doyle et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2012)
Prognostic value of automatically extracted nuclear morphometric features in whole slide images of male breast cancer
Mitko Veta et al.
MODERN PATHOLOGY (2012)
Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data
Anant Madabhushi et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2011)
Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival
Andrew H. Beck et al.
SCIENCE TRANSLATIONAL MEDICINE (2011)
The Origins and Implications of Intratumor Heterogeneity
Franziska Michor et al.
CANCER PREVENTION RESEARCH (2010)
Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images
Yousef Al-Kofahi et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2010)
Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+Breast Cancer Histopathology
Ajay Nagesh Basavanhally et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2010)
The Value of Mandatory Second Opinion Pathology Review of Prostate Needle Biopsy Interpretation Before Radical Prostatectomy
Fadi Brimo et al.
JOURNAL OF UROLOGY (2010)
Super-Resolution Fluorescence Microscopy
Bo Huang et al.
ANNUAL REVIEW OF BIOCHEMISTRY (2009)
Use of Archived Specimens in Evaluation of Prognostic and Predictive Biomarkers
Richard M. Simon et al.
JOURNAL OF THE NATIONAL CANCER INSTITUTE (2009)
Interobserver variability between expert: Urologic pathologists for extraprostatic extension and surgical margin status in radical prostatectomy specimens
Andrew J. Evans et al.
AMERICAN JOURNAL OF SURGICAL PATHOLOGY (2008)
Drug costs and out-of-pocket spending in cancer clinical trials
Meredith L. Kilgore et al.
CONTEMPORARY CLINICAL TRIALS (2008)
Why oral histopathology suffers inter-observer variability on grading oral epithelial dysplasia: An attempt to understand the sources of variation
Omar Kujan et al.
ORAL ONCOLOGY (2007)
Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer
Soonmyung Paik et al.
JOURNAL OF CLINICAL ONCOLOGY (2006)
Reducing the dimensionality of data with neural networks
G. E. Hinton et al.
SCIENCE (2006)
A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer
S Paik et al.
NEW ENGLAND JOURNAL OF MEDICINE (2004)
Accuracy of computer diagnosis of melanoma - A quantitative meta-analysis
B Rosado et al.
ARCHIVES OF DERMATOLOGY (2003)
Abnormal nuclear shape in solid tumors reflects mitotic instability
D Gisselsson et al.
AMERICAN JOURNAL OF PATHOLOGY (2001)