Artificial intelligence and digital pathology: Opportunities and implications for immuno-oncology

Software‐assisted decision support in digital histopathology

(2020) Ralf Huss et al.   JOURNAL OF PATHOLOGY

The path to a better biomarker: application of a risk management framework for the implementation of PD‐L1 and TILs as immuno‐oncology biomarkers into breast cancer clinical trials and daily practice

(2020) Paula I Gonzalez‐Ericsson et al.   JOURNAL OF PATHOLOGY

Geospatial immune variability illuminates differential evolution of lung adenocarcinoma

(2020) Khalid AbdulJabbar et al.   NATURE MEDICINE

A deep learning model to predict RNA-Seq expression of tumours from whole slide images

(2020) Benoît Schmauch et al.   Nature Communications

Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group

(2020) Mohamed Amgad et al.   npj Breast Cancer

Integrating immunotherapy in the (neo)adjuvant setting of early breast cancer

(2020) Jack J. Chan et al.   CURRENT OPINION IN ONCOLOGY

Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data

(2019) Alexander Effland et al.   International Journal of Computer Assisted Radiology and Surgery

ESMO recommendations on microsatellite instability testing for immunotherapy in cancer, and its relationship with PD-1/PD-L1 expression and tumour mutational burden: a systematic review-based approach

(2019) C Luchini et al.   ANNALS OF ONCOLOGY

Breast cancer outcome prediction with tumour tissue images and machine learning

(2019) Riku Turkki et al.   BREAST CANCER RESEARCH AND TREATMENT

Robust and accurate quantification of biomarkers of immune cells in lung cancer micro-environment using deep convolutional neural networks

(2019) Lilija Aprupe et al.   PeerJ

Deep learning with multimodal representation for pancancer prognosis prediction

(2019) Anika Cheerla et al.   BIOINFORMATICS

Automatic discovery of image-based signatures for ipilimumab response prediction in malignant melanoma

(2019) Nathalie Harder et al.   Scientific Reports

Comparison of Biomarker Modalities for Predicting Response to PD-1/PD-L1 Checkpoint Blockade

(2019) Steve Lu et al.   JAMA Oncology

Unsupervised Domain Adaptation for Classification of Histopathology Whole-Slide Images

(2019) Jian Ren et al.   Frontiers in Bioengineering and Biotechnology

Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology

(2019) Kaustav Bera et al.   Nature Reviews Clinical Oncology

Hotspot diagnosis for solar photovoltaic modules using a Naive Bayes classifier

(2019) Kamran Ali Khan Niazi et al.   SOLAR ENERGY

Deep learning-based classification of mesothelioma improves prediction of patient outcome

(2019) Pierre Courtiol et al.   NATURE MEDICINE

A clonal expression biomarker associates with lung cancer mortality

(2019) Dhruva Biswas et al.   NATURE MEDICINE

Automated acquisition of explainable knowledge from unannotated histopathology images

(2019) Yoichiro Yamamoto et al.   Nature Communications

Fibroblast Heterogeneity and Immunosuppressive Environment in Human Breast Cancer

(2018) Ana Costa et al.   CANCER CELL

Interfaces of Malignant and Immunologic Clonal Dynamics in Ovarian Cancer

(2018) Allen W. Zhang et al.   CELL

Digital image analysis improves precision of PD-L1 scoring in cutaneous melanoma

(2018) Viktor H Koelzer et al.   HISTOPATHOLOGY

Multispectral imaging for quantitative and compartment-specific immune infiltrates reveals distinct immune profiles that classify lung cancer patients

(2018) Artur Mezheyeuski et al.   JOURNAL OF PATHOLOGY

Tumour-infiltrating lymphocytes and prognosis in different subtypes of breast cancer: a pooled analysis of 3771 patients treated with neoadjuvant therapy

(2018) Carsten Denkert et al.   LANCET ONCOLOGY

Deep learning in mammography and breast histology, an overview and future trends

(2018) Azam Hamidinekoo et al.   MEDICAL IMAGE ANALYSIS

A Survey of Methods for 3D Histology Reconstruction

(2018) Jonas Pichat et al.   MEDICAL IMAGE ANALYSIS

Nivolumab plus Ipilimumab in Lung Cancer with a High Tumor Mutational Burden

(2018) Matthew D. Hellmann et al.   NEW ENGLAND JOURNAL OF MEDICINE

Detection and Classification of Cancer in Whole Slide Breast Histopathology Images Using Deep Convolutional Networks

(2018) Baris Gecer et al.   PATTERN RECOGNITION

Predicting cancer outcomes from histology and genomics using convolutional networks

(2018) Pooya Mobadersany et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

(2018) Joel Saltz et al.   Cell Reports

Machine Learning Methods for Histopathological Image Analysis

(2018) Daisuke Komura et al.   Computational and Structural Biotechnology Journal

Diverse Functions of Macrophages in Different Tumor Microenvironments

(2018) Ming Yang et al.   CANCER RESEARCH

Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer

(2018) David F. Steiner et al.   AMERICAN JOURNAL OF SURGICAL PATHOLOGY

Development of tumor mutation burden as an immunotherapy biomarker: utility for the oncology clinic

(2018) T A Chan et al.   ANNALS OF ONCOLOGY

Artificial Intelligence–Based Breast Cancer Nodal Metastasis Detection

(2018) Yun Liu et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

Evolution of Metastases in Space and Time under Immune Selection

(2018) Mihaela Angelova et al.   CELL

Precision immunoprofiling by image analysis and artificial intelligence

(2018) Viktor H. Koelzer et al.   VIRCHOWS ARCHIV

Spatially and functionally distinct subclasses of breast cancer-associated fibroblasts revealed by single cell RNA sequencing

(2018) Michael Bartoschek et al.   Nature Communications

Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images

(2017) Youyi Song et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Comprehensive Intrametastatic Immune Quantification and Major Impact of Immunoscore on Survival

(2017) Bernhard Mlecnik et al.   JNCI-Journal of the National Cancer Institute

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Deep Learning in Microscopy Image Analysis: A Survey

(2017) Fuyong Xing et al.   IEEE Transactions on Neural Networks and Learning Systems

HEp-2 Cell Image Classification With Deep Convolutional Neural Networks

(2017) Zhimin Gao et al.   IEEE Journal of Biomedical and Health Informatics

Comprehensive Intrametastatic Immune Quantification and Major Impact of Immunoscore on Survival

(2017) Bernhard Mlecnik et al.   JNCI-Journal of the National Cancer Institute

Detection of lobular structures in normal breast tissue

(2016) Grégory Apou et al.   COMPUTERS IN BIOLOGY AND MEDICINE

An Automatic Learning-Based Framework for Robust Nucleus Segmentation

(2016) Fuyong Xing et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Stain Specific Standardization of Whole-Slide Histopathological Images

(2016) Babak Ehteshami Bejnordi et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images

(2016) Korsuk Sirinukunwattana et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images

(2016) Shadi Albarqouni et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images

(2016) Jun Xu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Predictive biomarkers for checkpoint inhibitor-based immunotherapy

(2016) Geoffrey T Gibney et al.   LANCET ONCOLOGY

Automatic detection and classification of leukocytes using convolutional neural networks

(2016) Jianwei Zhao et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Mitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method

(2016) Mitko Veta et al.   PLoS One

Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images

(2016) David Romo-Bucheli et al.   Scientific Reports

Molecular and Genetic Properties of Tumors Associated with Local Immune Cytolytic Activity

(2015) Michael S. Rooney et al.   CELL

Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning

(2015) Youyi Song et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Evolutionary Determinants of Cancer

(2015) M. Greaves   Cancer Discovery

The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: recommendations by an International TILs Working Group 2014

(2014) R. Salgado et al.   ANNALS OF ONCOLOGY

A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution

(2014) Adnan Mujahid Khan et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

pRb/E2F-1-mediated caspase-dependent induction of Noxa amplifies the apoptotic effects of the Bcl-2/Bcl-xL inhibitor ABT-737

(2013) J Bertin-Ciftci et al.   CELL DEATH AND DIFFERENTIATION

Hallmarks of Cancer: The Next Generation

(2011) Douglas Hanahan et al.   CELL

Histopathologic-Based Prognostic Factors of Colorectal Cancers Are Associated With the State of the Local Immune Reaction

(2011) Bernhard Mlecnik et al.   JOURNAL OF CLINICAL ONCOLOGY

Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival

(2011) A. H. Beck et al.   Science Translational Medicine

Coevolution in the tumor microenvironment

(2008) Robert A Weinberg   NATURE GENETICS