rainyren Goto Github PK

azure-feedback

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

hello-world

Just a test on GitHub

hw_model

hyperlearn

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

iot

lunglobeseg

For paper of Lung lobe segmentation

models

Models and examples built with TensorFlow

radiomics_ovary

radiomics analysis in ovary

template_shr

We have created the in vivo symmetric multi-contrast MRI brain templates and atlas for spontaneously hypertensive rats named the Heibei Medical University rat template set (HRT). Structural T2WI, DTI and resting-state functional MRI (BOLD) scans that were used to build the template set were obtained from 8 SHRs longitudinally scanned in vivo at 10, 24 and 52 weeks of age. HRT comprised T2WI, FA, MD, raw DWI with a b-value of 0 s/mm2 (B0) and BOLD templates; tissue probability maps of gray matter, white matter and cerebrospinal fluid; and a whole-brain atlas with 163 labels. The cortical atlas was derived from the Tohoku atlas, and the subcortical regions were manually delineated. HRT was up-sampled to an isotropic resolution of 1 mm (after scaling 10). We hope that the HRT can serve as a beneficial tool for precise analysis of the SHR brain using structural and functional MRI, which can promote neuroimaging studies on essential hypertension. Number of patent application: 202110462436.2