Data Science Guts

Blog
Projects
Publications
About

Data Science Guts

Machine learning, statistics and deep learning in Python and R.

Categories

All (3)

deep learning (3)

medical imaging (3)

pyplatypus (3)

Python (3)

R (3)

rplatypus (3)

Semantic segmentation in rplatypus and pyplatypus: what is in the box

medical imaging

Four architectures, eleven losses, five metrics and one YAML file that holds a whole experiment - and a measurement that says the choice everyone argues about matters least.

Nuclei, five years later: what a mean Dice hides

medical imaging

A published U-Net scores a mean Dice of 0.92 on 134 held-out microscopy images. One row per image shows where it is weakest: three images, the only three of their kind, and…

rplatypus rebuilt: deep learning for medical images in R

medical imaging

The R package I wrote in 2020 stopped working. The rewrite runs on PyTorch, installs its own Python, and is on its way to CRAN - in a corner of R that had no deep learning…

No matching items

© Michał Maj · Built with Quarto · Syndicated on R-bloggers and Python-bloggers