Training a cell level classifier for detecting basal cell carcinoma by combining human visual attention maps with low lever handcrafted features Read more about Training a cell level classifier for detecting basal cell carcinoma by combining human visual attention maps with low lever handcrafted features
Intratumoral and peritumoral radiomics for the pre-treatment prediction of pathological complete response to neo-adjuvant chemotherapy from breast DCE-MRI Read more about Intratumoral and peritumoral radiomics for the pre-treatment prediction of pathological complete response to neo-adjuvant chemotherapy from breast DCE-MRI
Editorial Comment on Biparametric Prostate MRI in Prostate Cancer Detection Read more about Editorial Comment on Biparametric Prostate MRI in Prostate Cancer Detection
Connecting Markov Randm Fields and Active Contour Models: Application to Gland Segmentation and Classification Read more about Connecting Markov Randm Fields and Active Contour Models: Application to Gland Segmentation and Classification
Co-registration of pre-operative CT with ex vivo surgically excised ground glass nodules to define spatial extent of invasive adenocarcinoma on in vivo imaging: a proof-of-concept study. Read more about Co-registration of pre-operative CT with ex vivo surgically excised ground glass nodules to define spatial extent of invasive adenocarcinoma on in vivo imaging: a proof-of-concept study.
Cascaded Multi-view Canonical Correlation (CAMCCo) for Early Diagnosis of Alzheimer's Disease via Fusion of Clinical, Imaging and Omic Features Read more about Cascaded Multi-view Canonical Correlation (CAMCCo) for Early Diagnosis of Alzheimer's Disease via Fusion of Clinical, Imaging and Omic Features
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
Accurate and reproductive invasive breast cancer detection in whole-slide images: A deep learning approach for quantifying tumor extent Read more about Accurate and reproductive invasive breast cancer detection in whole-slide images: A deep learning approach for quantifying tumor extent