3 citations · 9 across the 5 of their papers we have counts for
5 papers
Multi-omics Prediction from High-content Cellular Imaging with Deep Learning
Rahil Mehrizi, Arash Mehrjou, Maryana Alegro +10
High-content cellular imaging, transcriptomics, and proteomics data provide rich and complementary views on the molecular layers of biology that influence cellular states and funct…
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical Image
Jinkai Lv, Yuyong Hu, Quanshui Fu +6
The convolutional-based methods provide good segmentation performance in the medical image segmentation task. However, those methods have the following challenges when dealing with…
PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy
Li Xiao, Yufan Luo, Chunlong Luo +5
Many recently developed object detectors focused on coarse-to-fine framework which contains several stages that classify and regress proposals from coarse-grain to fine-grain, and…
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography
Li Xiao, Cheng Zhu, Junjun Liu +3
Deep learning object detection algorithm has been widely used in medical image analysis. Currently all the object detection tasks are based on the data annotated with object classe…
DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks
Li Xiao, Chunlong Luo, Tianqi Yu +6
Chromosome enumeration is an essential but tedious procedure in karyotyping analysis. To automate the enumeration process, we develop a chromosome enumeration framework, DeepACEv2,…