Automated Bone Marrow Cytology Using Deep Learning
A new automate pipeline to understand complex information generated in bone marrow cytology ...
A new automate pipeline to understand complex information generated in bone marrow cytology ...
Use `deep learning + active` learning to extract diagnostically relevant textual information from pathology synopses ...
If I can use segmentation layouts or my sketches as inputs and let the model output `pretty` faces ...
To our knowledge, Crystal Eyes is the first system that can recognize more than 1500 (1551) 2D characters with high performance using machine learning.
You wonder if you can predict whether you will be too late. Then, you can have as many not-too-late conferences as possible, that would be so great!
The application of computer analysis of histological imaging to assist medical diagnosis is very promising ...
We, the researchers in Sun Yat-sen Memorial Hospital started this project to study whether the outputs from MRI CV analysis can help doctors to decide which therapy fits the patients' best interests.
It aims to build a framework that could train a model to "learn" to detect any types of cells they want.