Histographs: Graphs in Histopathology

Doyle, S., Feldman, M. D., Shih, N., Tomaszewski, J., and Madabhushi, A., “Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer,” BMC bioinformatics

2012

Earlier work this paper cites.

Ali, S., Veltri, R., Epstein, J. A., Christudass, C., and Madabhushi, A., “Cell cluster graph for prediction of biochemical recurrence in prostate cancer patients from tissue microarrays,” in [ Medical Imaging 2013: Digital Pathology

2013

Earlier work this paper cites.

Basavanhally, A., Ganesan, S., Feldman, M., Shih, N., Mies, C., Tomaszewski, J., and Madabhushi, A., “Multi-field-of-view framework for distinguishing tumor grade in er+ breast cancer from entire histopathology slides,” IEEE transactions on biomedical engineering

2013

Earlier work this paper cites.

Lee, G., Sparks, R., Ali, S., Shih, N. N., Feldman, M. D., Spangler, E., Rebbeck, T., Tomaszewski, J. E., and Madabhushi, A., “Co-occurring gland angularity in localized subgraphs: predicting biochemical recurrence in intermediate-risk prostate cancer patients,” PloS one

2014

Cited alongside, same era.

Such, F. P., Sah, S., Dominguez, M. A., Pillai, S., Zhang, C., Michael, A., Cahill, N. D., and Ptucha, R., “Robust spatial filtering with graph convolutional neural networks,” IEEE Journal of Selected Topics in Signal Processing

2017

Cited alongside, same era.

Kumar, N., Verma, R., Sharma, S., Bhargava, S., Vahadane, A., and Sethi, A., “A dataset and a technique for generalized nuclear segmentation for computational pathology,” IEEE transactions on medical imaging

2017

Later among the works it cites.

Aresta, G., Araújo, T., Kwok, S., Chennamsetty, S. S., Safwan, M., Alex, V., Marami, B., Prastawa, M., Chan, M., Donovan, M., et al., “Bach: Grand challenge on breast cancer histology images,” Medical image analysis

Original

2019

Closest in time.