output
20152025
most citedDeep neural network models for computational histopathology: A survey

766 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 23 cited

Learning to segment images with classification labels

Ozan Ciga, Anne L. Martel

Two of the most common tasks in medical imaging are classification and segmentation. Either task requires labeled data annotated by experts, which is scarce and expensive to collec…

eess.IV2019★ 766 cited

Deep neural network models for computational histopathology: A survey

Chetan L. Srinidhi, Ozan Ciga, Anne L. Martel

Histopathological images contain rich phenotypic information that can be used to monitor underlying mechanisms contributing to diseases progression and patient survival outcomes. R…

eess.SP2019★ 58 cited

Multi-Group Multicast Beamforming: Optimal Structure and Efficient Algorithms

Min Dong, Qiqi Wang

This paper considers the multi-group multicast beamforming optimization problem, for which the optimal solution has been unknown due to the non-convex and NP-hard nature of the pro…

eess.IV2019★ 19 cited

Unsupervised Clustering of Quantitative Imaging Phenotypes using Autoencoder and Gaussian Mixture Model

Jianan Chen, Laurent Milot, Helen M. C. Cheung +1

Quantitative medical image computing (radiomics) has been widely applied to build prediction models from medical images. However, overfitting is a significant issue in conventional…

cs.CV2019★ 211 cited

Prostate Cancer Detection using Deep Convolutional Neural Networks

Sunghwan Yoo, Isha Gujrathi, Masoom A. Haider +1

Prostate cancer is one of the most common forms of cancer and the third leading cause of cancer death in North America. As an integrated part of computer-aided detection (CAD) tool…