IHC-Net: A fully convolutional neural network for automated nuclear segmentation and ensemble classification for Allred scoring in breast pathology

A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images

(2020) Elima Hussain et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Her2Net: A Deep Framework for Semantic Segmentation and Classification of Cell Membranes and Nuclei in Breast Cancer Evaluation

(2018) Monjoy Saha et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Classification of Breast Cancer Based on Histology Images Using Convolutional Neural Networks

(2018) Dalal Bardou et al.   IEEE Access

Fast unsupervised nuclear segmentation and classification scheme for automatic allred cancer scoring in immunohistochemical breast tissue images

(2018) Aymen Mouelhi et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

(2017) S. TEWARY et al.   JOURNAL OF MICROSCOPY

MRF-ANN: a machine learning approach for automated ER scoring of breast cancer immunohistochemical images

(2017) T. MUNGLE et al.   JOURNAL OF MICROSCOPY

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Exploiting ensemble learning for automatic cataract detection and grading

(2016) Ji-Jiang Yang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A novel ensemble method for classifying imbalanced data

(2015) Zhongbin Sun et al.   PATTERN RECOGNITION

Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery

(2015) Fan Hu et al.   Remote Sensing

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

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

Classifier ensemble construction with rotation forest to improve medical diagnosis performance of machine learning algorithms

(2011) Akin Ozcift et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Automated segmentation of tissue images for computerized IHC analysis

(2010) S. Di Cataldo et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT