Search Results - "Cruz-Roa, Angel"

Interpretable weakly-supervised learning through kernel density matrices: A digital pathology use case.

Authors: Medina, Sebastian Romero, Eduardo Cruz-Roa, Angel et al.

Source: PLoS ONE. 11/5/2025, Vol. 20 Issue 11, p1-20. 20p.

High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection.

Authors: Cruz-Roa, Angel Gilmore, Hannah Basavanhally, Ajay et al.

Source: PLoS ONE. 5/24/2018, Vol. 13 Issue 5, p1-23. 23p.

Few-shot learning for inference in medical imaging with subspace feature representations.

Authors: Liu, Jiahui Fan, Keqiang Cai, Xiaohao et al.

Source: PLoS ONE. 11/6/2024, Vol. 19 Issue 11, p1-23. 23p.

Data distillation in computational pathology by choosing few representants of the original variance: A use case in ovarian cancer.

Authors: Salguero, Jennifer Prasanna, Prateek Corredor, German et al.

Source: Expert Systems with Applications; Jul2024, Vol. 245, pN.PAG-N.PAG, 1p

Detection and Segmentation of Breast Cancer Using Auto Encoder Deep Neural Networks.

Authors: Abed, Aqeel Ali Emadi, Mehran

Source: Majlesi Journal of Telecommunication Devices; Dec2023, Vol. 12 Issue 4, p209-217, 9p

MLW-gcForest: a multi-weighted gcForest model towards the staging of lung adenocarcinoma based on multi-modal genetic data.

Authors: Dong, Yunyun Yang, Wenkai Wang, Jiawen et al.

Source: BMC Bioinformatics. 11/14/2019, Vol. 20 Issue 1, p1-14. 14p. 5 Diagrams, 3 Charts, 4 Graphs.

Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network.

Authors: Dey, Maitreyee Rana, Soumya Prakash Loretoni, Riccardo et al.

Source: PLoS ONE. 7/21/2022, Vol. 17 Issue 7, p1-17. 17p.

Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent.

Authors: Cruz-Roa, Angel Gilmore, Hannah Basavanhally, Ajay et al.

Source: Scientific Reports. 4/21/2017, p46450. 1p.

Automated and Manual Quantification of Tumour Cellularity in Digital Slides for Tumour Burden Assessment.

Authors: Akbar, Shazia Peikari, Mohammad Salama, Sherine et al.

Source: Scientific Reports. 10/1/2019, Vol. 9 Issue 1, pN.PAG-N.PAG. 1p.