A deep learning model for breast ductal carcinoma in situ classification in whole slide images

Deep learning-based grading of ductal carcinoma in situ in breast histopathology images

(2021) Suzanne C. Wetstein et al.   LABORATORY INVESTIGATION

Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier

(2021) Anabia Sohail et al.   MEDICAL IMAGE ANALYSIS

Deep Learning-Based Multi-Class Classification of Breast Digital Pathology Images

(2021) Weiming Mi et al.   Cancer Management and Research

Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images—a Comparative Insight

(2020) Shallu Sharma et al.   JOURNAL OF DIGITAL IMAGING

Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours

(2020) Osamu Iizuka et al.   Scientific Reports

Histology of Luminal Breast Cancer

(2020) Ramona Erber et al.   Breast Care

Breast Cancer Histopathology Image Classification Using an Ensemble of Deep Learning Models

(2020) Zabit Hameed et al.   SENSORS

Weakly-supervised learning for lung carcinoma classification using deep learning

(2020) Fahdi Kanavati et al.   Scientific Reports

Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides

(2019) Arkadiusz Gertych et al.   Scientific Reports

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

(2019) Gabriele Campanella et al.   NATURE MEDICINE

Core needle biopsy of benign, borderline and in-situ problematic lesions of the breast: Diagnosis, differential diagnosis and immunohistochemistry

(2019) Marilin Rosa et al.   Annals of Diagnostic Pathology

Breast carcinoma in sclerosing adenosis: a clinicopathological and immunophenotypical analysis on 206 lesions

(2018) Bao-Hua Yu et al.   JOURNAL OF CLINICAL PATHOLOGY

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

(2018) Joel Saltz et al.   Cell Reports

Management and 5-year outcomes in 9938 women with screen-detected ductal carcinoma in situ: the UK Sloane Project

(2018) Alastair M. Thompson et al.   EUROPEAN JOURNAL OF CANCER

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

(2018) Nicolas Coudray et al.   NATURE MEDICINE

Significant inter- and intra-laboratory variation in grading of ductal carcinoma in situ of the breast: a nationwide study of 4901 patients in the Netherlands

(2018) Carmen van Dooijeweert et al.   BREAST CANCER RESEARCH AND TREATMENT

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

(2017) Babak Ehteshami Bejnordi et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis

(2017) Xin Luo et al.   Journal of Thoracic Oncology

Classifying and segmenting microscopy images with deep multiple instance learning

(2016) Oren Z. Kraus et al.   BIOINFORMATICS

Image analysis and machine learning in digital pathology: Challenges and opportunities

(2016) Anant Madabhushi et al.   MEDICAL IMAGE ANALYSIS

Benign mimickers of malignant breast lesions

(2016) Laura Spruill   SEMINARS IN DIAGNOSTIC PATHOLOGY

Consistency in recognizing microinvasion in breast carcinomas is improved by immunohistochemistry for myoepithelial markers

(2016) G. Cserni et al.   VIRCHOWS ARCHIV

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

(2016) Kun-Hsing Yu et al.   Nature Communications

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

(2016) Geert Litjens et al.   Scientific Reports

Tailoring therapies—improving the management of early breast cancer: St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2015

(2015) A. S. Coates et al.   ANNALS OF ONCOLOGY

Breast Sclerosing Adenosis and Accompanying Malignancies

(2015) Naisi Huang et al.   MEDICINE

Addressing overdiagnosis and overtreatment in cancer: a prescription for change

(2014) Laura J Esserman et al.   LANCET ONCOLOGY

Continued observation of the natural history of low-grade ductal carcinoma in situ reaffirms proclivity for local recurrence even after more than 30 years of follow-up

(2014) Melinda E Sanders et al.   MODERN PATHOLOGY

Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013

(2013) A. Goldhirsch et al.   ANNALS OF ONCOLOGY

Diminished Number or Complete Loss of Myoepithelial Cells Associated With Metaplastic and Neoplastic Apocrine Lesions of the Breast

(2011) Trine Tramm et al.   AMERICAN JOURNAL OF SURGICAL PATHOLOGY

Radial scar without associated atypical epithelial proliferation on image-guided 14-gauge needle core biopsy: Analysis of 49 cases from a single-centre and review of the literature

(2011) S. Bianchi et al.   BREAST

Long-Term Outcomes of Invasive Ipsilateral Breast Tumor Recurrences After Lumpectomy in NSABP B-17 and B-24 Randomized Clinical Trials for DCIS

(2011) I. L. Wapnir et al.   JNCI-Journal of the National Cancer Institute

Phenotypic Alterations in Myoepithelial Cells Associated With Benign Sclerosing Lesions of the Breast

(2010) Justin B. Hilson et al.   AMERICAN JOURNAL OF SURGICAL PATHOLOGY

Low-Grade Ductal Carcinoma In Situ and Invasive Mammary Carcinoma With Columnar Cell Morphology Arising in a Complex Fibroadenoma in Continuity With Columnar Cell Change and Flat Epithelial Atypia

(2010) Fredrik Petersson et al.   INTERNATIONAL JOURNAL OF SURGICAL PATHOLOGY

The role of immunohistochemistry in the differential diagnosis of breast lesions

(2008) Takuya Moriya et al.   PATHOLOGY