A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores Read more about A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores
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
Optical High Content Nanoscopy of Epigenetic Marks Decodes Phenotypic Divergence in Stem Cells. Read more about Optical High Content Nanoscopy of Epigenetic Marks Decodes Phenotypic Divergence in Stem Cells.
Computational imaging reveals shape differences between normal and malignant prostates on MRI. Read more about Computational imaging reveals shape differences between normal and malignant prostates on MRI.
A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers. Read more about A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers.
An integrated segmentation and shape based classification scheme for distinguishing adenocarcinomas from granulomas on lung CT. Read more about An integrated segmentation and shape based classification scheme for distinguishing adenocarcinomas from granulomas on lung CT.
Training a cell-level classifier for detecting basal-cell carcinoma by combining human visual attention maps with low-level handcrafted features. Read more about Training a cell-level classifier for detecting basal-cell carcinoma by combining human visual attention maps with low-level handcrafted features.
Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology Read more about Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology
A Watershed and Feature based approach for automated detection of lymphocytes on lung cancer images Read more about A Watershed and Feature based approach for automated detection of lymphocytes on lung cancer images
Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI Read more about Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI
