Crohn’s disease Category

Nucleus subtype classification using inter-modality learning

Dec. 19, 2023—Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Li, Ruining Deng, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman (2024). Nucleus subtype classification using inter-modality learning. SPIE Medical Imaging 2024 :...

Exploring shared memory architectures for end-to-end gigapixel deep learning

Dec. 19, 2023—Lucas W. Remedios, Leon Y. Cai, Samuel W. Remedios, Karthik Ramadass, Aravind Krishnan, Ruining Deng, Can Cui, Shunxing Bao, Lori A. Coburn, Yuankai Huo, Bennett A. Landman (2023). Exploring shared memory architectures for end-to-end gigapixel deep learning. MIDL 2023 short paper track Full text: NIHMSID Abstract Deep learning has made great strides in medical imaging, enabled by hardware advances in GPUs. One major constraint for the development...

UMAP of the normalized histogram representation of WSI neutrophil density for the entire dataset. All patches in this figure depict the 256 × 256 pixel CLAM patch with the maximum neutrophil density from the corresponding WSI. The UMAP displayed with patches depicts more clearly visible crypts and tissue edges in the normal cluster max patches than the active disease cluster (A). The UMAP displayed with circle markers highlights the separability of the two classes (B). Example patches are shown with their predicted neutrophil segmentation in green (C, D, E, F). Looking deep into the normal cluster, expected patches (C) and active disease outliers (D) show tissue edges and few segmented neutrophils. In the active disease cluster, expected patches (E) and normal tissue CD outliers (F) both show a larger number of segmented neutrophils, with fewer tissue edges visible (F).

Predicting Crohn’s disease severity in the colon using mixed cell nucleus density from pseudo labels

Dec. 1, 2022—Lucas W. Remedios, Shunxing Bao, Cailey I. Kerley, Leon Y. Cai, François Rheault, Ruining Deng, Can Cui, Sophie Chiron, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman (2023). Predicting Crohn’s disease severity in the colon using mixed cell nucleus density from pseudo labels....

Inpainting Missing Tissue in Multiplexed Immunofluorescence Imaging

Dec. 10, 2021—Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Qi Yang, Xin Yu, Sophie Chiron, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo. “Inpainting Missing Tissue in Multiplexed Immunofluorescence Imaging” Medical Imaging 2022: Digital and Computational Pathology. International Society for Optics and Photonics, accepted Full text: [TBD] Abstract Multiplex immunofluorescence (MxIF) is...