Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology. Read more about Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology.
A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images. Read more about A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images.
Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images. Read more about Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images.
Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology. Read more about Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology.
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases. Read more about Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases.
AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments. Read more about AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments.
Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images. Read more about Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images.
Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images. Read more about Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images.
Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings. Read more about Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings.
Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI. Read more about Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI.
