The current state-of-the-art on Pancreas-CT 10% labeled data is AD-MT. See a full comparison of 1 papers with code.
organs that they would likely contribute to in the adult animal, including thyroid, thymus, lung, liver, pancreas, small intestine and large intestine/colon. Notably, the seqFISH-profiled embryos, in comparison to the Nowotschin dataset, lack cells associated with the large intestine, likely due...
Multi-task federated learning for heterogeneous pancreas segmentation. In Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning (eds Laura, C. O. et al.) 101–110 (Springer, 2021). ...
All projects which are based on nnDetection assume that the base image was built with the following tagging schemennDetection:[version]. To build a container (nnDetection Version 0.1) run the following command from the base directory: docker build -t nndetection:0.1 --build-arg env_det_num_...
while SEGs are more likely to be found in relatively gene-dense regions. Since SEGs on average have higher expression levels than DEGs, we also selected a subset of genes from each group that were matched by expression levels. This additional control confirmed that the density of SEGs and thei...
a member of the Yale New Haven Health Board and scientific advisory council to No Stomach for Cancer, and an advisor to Celgene; licensing a biomarker for early detection of pancreas cancer to Cepheid; and receiving a grant from Astex Pharmaceuticals and book fees from Elsevier outside the subm...
Different angiogenesis, immune cell distribution, and stem cell activity exist in sterile tissues (pancreas, brain), filtering and metabolic tissues (liver, kidney), environmental interface tissues (skin, lung, intestine), and body surface tissues (breast). When tumorigenesis occurs, immune cell ...
a The 3D whole-organ images of mouse lymphatic vessels in the lung, brain, intestine, heart, kidney, stomach, pancreas, and eye. Prox1-GFP mice (2-4 months) were sacrificed and subjected to CUBIC procedures as shown in Fig. 1a. To enhance the signals from Prox1-GFP, samples were stai...
A key challenge in analyzing single cell RNA-sequencing data is the large number of false zeros, where genes actually expressed in a given cell are incorrectly measured as unexpressed. We present a method based on low-rank matrix approximation which impu
Postnatal growth trait Arterial blood pressure trait Blood glucose amount Tibia morphology trait Pancreas mass Pancreas mass Current VT ID VT:0003366 VT:0010463 VT:0005346 VT:2000000 VT:0002673 VT:2000000 VT:0001731 VT:0001731 VT:2000000 VT:0000188 VT:0000558 VT:0010144 VT:0010144 (FYPO; [17])...