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Found 5 papers, 0 papers with code
A new methodology to predict the oncotype scores based on clinico-pathological data with similar tumor profiles
This methodology can be used particularly to identify the patients of the training cohort that share similarities with the new patient and to predict an estimate of the distribution of the ODX score.
A DEEP LEARNING PIPELINE FOR BREAST CANCER KI-67PROLIFERATION INDEX SCORING
The Ki-67 proliferation index is an essential biomarker that helps pathologists to diagnose andselect appropriate treatments.
A deep learning pipeline for breast cancer ki-67 proliferation index scoring
The extracted nuclei are then divided into overlapped and non-overlapped regions based on eight geometric and statistical features.
Data Labeling Impact on Deep Learning Models in Digital Pathology: a Breast Cancer Case Study
The aim of this study is to highlight the impact of data labeling on deep learning models.
A CNN-based methodology for breast cancer diagnosis using thermal images
Methods: We performed a study of the influence of data pre-processing, data augmentation and database size versus a proposed set of CNN models.
