Search Results for author:
Found 6 papers, 2 papers with code
CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models
Batch effects (BEs) refer to systematic technical differences in data collection unrelated to biological variations whose noise is shown to negatively impact machine learning (ML) model generalizability.
PatchSorter: A High Throughput Deep Learning Digital Pathology Tool for Object Labeling
Using >100, 000 objects, we demonstrate a >7x improvement in labels per second over unaided labeling, with minimal impact on labeling accuracy, thus enabling high-throughput labeling of large datasets.
Panoptic segmentation with highly imbalanced semantic labels
We describe here the panoptic segmentation method we devised for our participation in the CoNIC: Colon Nuclei Identification and Counting Challenge at ISBI 2022.
Unsupervised Artifact Detection for Whole Slide Images of Prostate Biopsies
Our proposed method can be utilised for slide-level QC as well as the identification of artefacts within a slide.
Quick Annotator: an open-source digital pathology based rapid image annotation tool
Image based biomarker discovery typically requires an accurate segmentation of histologic structures (e. g., cell nuclei, tubules, epithelial regions) in digital pathology Whole Slide Images (WSI).
MRQy: An Open-Source Tool for Quality Control of MR Imaging Data
We present MRQy, a new open-source quality control tool to (a) interrogate MRI cohorts for site- or equipment-based differences, and (b) quantify the impact of MRI artifacts on relative image quality; to help determine how to correct for these variations prior to model development.
