AutoIHC-scoring : a machine learning framework for automated Allred scoring of molecular expression in ER- and PR-stained breast cancer tissue

Statistical colour models: an automated digital image analysis method for quantification of histological biomarkers

(2016) Jie Shu et al.   Biomedical Engineering Online

Automated Ki-67 Quantification of Immunohistochemical Staining Image of Human Nasopharyngeal Carcinoma Xenografts

(2016) Peng Shi et al.   Scientific Reports

Comparing computer-generated and pathologist-generated tumour segmentations for immunohistochemical scoring of breast tissue microarrays

(2015) Shazia Akbar et al.   BRITISH JOURNAL OF CANCER

Automatic image segmentation of nuclear stained breast tissue sections using color active contour model and an improved watershed method

(2013) Aymen Mouelhi et al.   Biomedical Signal Processing and Control

Performance comparison of machine learning methods for prognosis of hormone receptor status in breast cancer tissue samples

(2013) Adem Kalinli et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A new automatic image analysis method for assessing estrogen receptors’ status in breast tissue specimens

(2013) Aymen Mouelhi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Semi-quantitative immunohistochemical assay versus oncotype DX® qRT-PCR assay for estrogen and progesterone receptors: an independent quality assurance study

(2012) James A Kraus et al.   MODERN PATHOLOGY

Technical note on the validation of a semi-automated image analysis software application for estrogen and progesterone receptor detection in breast cancer

(2011) László Krecsák et al.   Diagnostic Pathology

Achieving the way for automated segmentation of nuclei in cancer tissue images through morphology-based approach: A quantitative evaluation

(2010) S. Di Cataldo et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Thresholds for therapies: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2009

(2009) A. Goldhirsch et al.   ANNALS OF ONCOLOGY