A novel cost function for nuclei segmentation and classification in imbalanced histopathology data-sets

SONNET: A self-guided ordinal regression neural network for segmentation and classification of nuclei in large-scale multi-tissue histology images

(2022) Tan Nhu Nhat Doan et al.   IEEE Journal of Biomedical and Health Informatics

NR2F1 is a barrier to dissemination of early stage breast cancer cells.

(2022) Carolina Rodriguez-Tirado et al.   CANCER RESEARCH

REU-Net: Region-enhanced nuclei segmentation network

(2022) Jian Qin et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Ensembling handcrafted features with deep features: an analytical study for classification of routine colon cancer histopathological nuclei images

(2020) Suvidha Tripathi et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images

(2019) Achim Hekler et al.   EUROPEAN JOURNAL OF CANCER

Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images

(2019) Simon Graham et al.   MEDICAL IMAGE ANALYSIS

Improved Fuzzy C-Means based Particle Swarm Optimization (PSO) initialization and outlier rejection with level set methods for MR brain image segmentation

(2015) Abdenour Mekhmoukh et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Relevant impact of central pathology review on nodal classification in individual breast cancer patients

(2012) J. H. M. J. Vestjens et al.   ANNALS OF ONCOLOGY