4 papers
Stronger is not better: Better Augmentations in Contrastive Learning for Medical Image Segmentation
Azeez Idris, Abdurahman Ali Mohammed, Samuel Fanijo
Self-supervised contrastive learning is among the recent representation learning methods that have shown performance gains in several downstream tasks including semantic segmentati…
CountXplain: Interpretable Cell Counting with Prototype-Based Density Map Estimation
Abdurahman Ali Mohammed, Wallapak Tavanapong, Catherine Fonder +1
Cell counting in biomedical imaging is pivotal for various clinical applications, yet the interpretability of deep learning models in this domain remains a significant challenge. W…
CellFMCount: A Fluorescence Microscopy Dataset, Benchmark, and Methods for Cell Counting
Abdurahman Ali Mohammed, Catherine Fonder, Ying Wei +4
Accurate cell counting is essential in various biomedical research and clinical applications, including cancer diagnosis, stem cell research, and immunology. Manual counting is lab…
IDCIA: Immunocytochemistry Dataset for Cellular Image Analysis
Abdurahman Ali Mohammed, Catherine Fonder, Donald S. Sakaguchi +3
We present a new annotated microscopic cellular image dataset to improve the effectiveness of machine learning methods for cellular image analysis. Cell counting is an important st…