Image Feature Extraction
timm
Safetensors
pathology
histopathology
her2
breast-cancer
h-and-e
vision-transformer
multiple-instance-learning
Instructions to use cloudkites/her2-reader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use cloudkites/her2-reader with timm:
import timm model = timm.create_model("hf-hub:cloudkites/her2-reader", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download data/paper/paper-data/paper_macros.tex from cloudkites/her2-reader: direct link, hf CLI and curl.
- Browser
- Download file 4.2 kB
-
https://huggingface.co/cloudkites/her2-reader/resolve/main/data/paper/paper-data/paper_macros.tex
- Command line
-
hf download hf://cloudkites/her2-reader/data/paper/paper-data/paper_macros.tex
-
curl -L -o paper_macros.tex https://huggingface.co/cloudkites/her2-reader/resolve/main/data/paper/paper-data/paper_macros.tex
4.2 kB
| % Generated by docs/paper/paper_data.py from ../training/data/m5_macros.tex | |
| \providecommand\pset[2]{\expandafter\def\csname pp:#1\endcsname{#2}} | |
| \pset{updated}{9 October 2026} | |
| \pset{r1-yy}{0.850} | |
| \pset{r1-yy-spread}{0.003} | |
| \pset{r1-yy-gap}{$-$0.022} | |
| \pset{r1-tt}{0.688} | |
| \pset{r1-tt-spread}{0.002} | |
| \pset{r1-tt-gap}{+0.009} | |
| \pset{r1-ty}{0.795} | |
| \pset{r1-ty-spread}{0.006} | |
| \pset{r1-ty-gap}{$-$0.016} | |
| \pset{r1-yt}{0.642} | |
| \pset{r1-yt-spread}{0.001} | |
| \pset{r1-yt-gap}{$-$0.020} | |
| \pset{rank-yy}{3} | |
| \pset{rank-tt}{1} | |
| \pset{rank-ty}{1} | |
| \pset{rank-yt}{3} | |
| \pset{rank-n}{7} | |
| \pset{pb-tcga-rank}{1} | |
| \pset{pb-tcga-ours}{0.689} | |
| \pset{pb-yale-rank}{3} | |
| \pset{pb-yale-ours}{0.897} | |
| \pset{pb-n}{7} | |
| \pset{t4-her2low-ours}{0.649} | |
| \pset{t4-her2low-rank}{4} | |
| \pset{t4-her2low-best}{0.741} | |
| \pset{t4-her2low-min}{0.61} | |
| \pset{t4-her2low-max}{0.74} | |
| \pset{t4-her2low-phikon}{0.741} | |
| \pset{t4-her2low-hopt}{0.692} | |
| \pset{t4-her2low-hibou}{0.678} | |
| \pset{t4-her2low-midnight}{0.626} | |
| \pset{t4-her2low-rn50}{0.615} | |
| \pset{t4-her2low-dinov2s}{0.613} | |
| \pset{t4-fish-ours}{0.544} | |
| \pset{t4-fish-rank}{2} | |
| \pset{t4-fish-best}{0.546} | |
| \pset{t4-fish-min}{0.47} | |
| \pset{t4-fish-max}{0.55} | |
| \pset{t4-fish-phikon}{0.475} | |
| \pset{t4-fish-hopt}{0.546} | |
| \pset{t4-fish-hibou}{0.485} | |
| \pset{t4-fish-midnight}{0.538} | |
| \pset{t4-fish-rn50}{0.468} | |
| \pset{t4-fish-dinov2s}{0.471} | |
| \pset{t4-fishx-ours}{0.682} | |
| \pset{t4-fishx-rank}{2} | |
| \pset{t4-fishx-best}{0.706} | |
| \pset{t4-fishx-min}{0.57} | |
| \pset{t4-fishx-max}{0.71} | |
| \pset{t4-fishx-phikon}{0.619} | |
| \pset{t4-fishx-hopt}{0.706} | |
| \pset{t4-fishx-hibou}{0.672} | |
| \pset{t4-fishx-midnight}{0.650} | |
| \pset{t4-fishx-rn50}{0.575} | |
| \pset{t4-fishx-dinov2s}{0.632} | |
| \pset{t4-fisho-ours}{0.669} | |
| \pset{t4-fisho-rank}{2} | |
| \pset{t4-fisho-best}{0.690} | |
| \pset{t4-fisho-min}{0.44} | |
| \pset{t4-fisho-max}{0.69} | |
| \pset{t4-fisho-phikon}{0.654} | |
| \pset{t4-fisho-hopt}{0.690} | |
| \pset{t4-fisho-hibou}{0.572} | |
| \pset{t4-fisho-midnight}{0.644} | |
| \pset{t4-fisho-rn50}{0.445} | |
| \pset{t4-fisho-dinov2s}{0.469} | |
| \pset{t4-lowx-ours}{0.456} | |
| \pset{t4-lowx-rank}{6} | |
| \pset{t4-lowx-best}{0.542} | |
| \pset{t4-lowx-min}{0.44} | |
| \pset{t4-lowx-max}{0.54} | |
| \pset{t4-lowx-phikon}{0.479} | |
| \pset{t4-lowx-hopt}{0.500} | |
| \pset{t4-lowx-hibou}{0.542} | |
| \pset{t4-lowx-midnight}{0.494} | |
| \pset{t4-lowx-rn50}{0.462} | |
| \pset{t4-lowx-dinov2s}{0.441} | |
| \pset{t4-lowo-ours}{0.560} | |
| \pset{t4-lowo-rank}{4} | |
| \pset{t4-lowo-best}{0.570} | |
| \pset{t4-lowo-min}{0.54} | |
| \pset{t4-lowo-max}{0.57} | |
| \pset{t4-lowo-phikon}{0.551} | |
| \pset{t4-lowo-hopt}{0.569} | |
| \pset{t4-lowo-hibou}{0.553} | |
| \pset{t4-lowo-midnight}{0.570} | |
| \pset{t4-lowo-rn50}{0.541} | |
| \pset{t4-lowo-dinov2s}{0.565} | |
| \pset{t4-fish-n}{143} | |
| \pset{t4-fish-pos}{44} | |
| \pset{t4-fish-agree}{131} | |
| \pset{t4-fish-both}{143} | |
| \pset{t4-n}{7} | |
| \pset{t4s1-her2low}{0.662} | |
| \pset{t4s1-her2low-d}{-0.020} | |
| \pset{t4s2-her2low}{0.683} | |
| \pset{t4j1-her2low}{0.661} | |
| \pset{t4j1-her2low-d}{-0.022} | |
| \pset{t4j2-her2low}{0.649} | |
| \pset{t4j2-her2low-d}{-0.034} | |
| \pset{t4w75-her2low}{0.651} | |
| \pset{t4w75-her2low-d}{-0.031} | |
| \pset{t4w50-her2low}{0.665} | |
| \pset{t4w50-her2low-d}{-0.018} | |
| \pset{t4s100-her2low}{0.649} | |
| \pset{t4s100-her2low-d}{-0.034} | |
| \pset{t4j100-her2low}{0.629} | |
| \pset{t4j100-her2low-d}{-0.054} | |
| \pset{rd-thr}{0.27} | |
| \pset{rd-n-yale}{192} | |
| \pset{rd-pos-yale}{93} | |
| \pset{rd-n-tcga}{490} | |
| \pset{rd-yale-sens}{0.72} | |
| \pset{rd-yale-sens-ci}{0.62--0.80} | |
| \pset{rd-yale-spec}{0.79} | |
| \pset{rd-yale-spec-ci}{0.70--0.86} | |
| \pset{rd-yale-ppv}{0.76} | |
| \pset{rd-yale-ppv-ci}{0.66--0.84} | |
| \pset{rd-yale-npv}{0.75} | |
| \pset{rd-yale-npv-ci}{0.66--0.82} | |
| \pset{rd-yale05-sens}{0.14} | |
| \pset{rd-yale05-sens-ci}{0.08--0.22} | |
| \pset{rd-yale05-spec}{0.97} | |
| \pset{rd-yale05-spec-ci}{0.91--0.99} | |
| \pset{rd-yale05-ppv}{0.81} | |
| \pset{rd-yale05-ppv-ci}{0.57--0.93} | |
| \pset{rd-yale05-npv}{0.55} | |
| \pset{rd-yale05-npv-ci}{0.47--0.62} | |
| \pset{rd-tcga-sens}{0.58} | |
| \pset{rd-tcga-sens-ci}{0.50--0.65} | |
| \pset{rd-tcga-spec}{0.75} | |
| \pset{rd-tcga-spec-ci}{0.70--0.79} | |
| \pset{rd-tcga-ppv}{0.51} | |
| \pset{rd-tcga-ppv-ci}{0.44--0.59} | |
| \pset{rd-tcga-npv}{0.79} | |
| \pset{rd-tcga-npv-ci}{0.74--0.83} | |
| \pset{rd-tcga05-sens}{0.23} | |
| \pset{rd-tcga05-sens-ci}{0.17--0.30} | |
| \pset{rd-tcga05-spec}{0.93} | |
| \pset{rd-tcga05-spec-ci}{0.90--0.95} | |
| \pset{rd-tcga05-ppv}{0.61} | |
| \pset{rd-tcga05-ppv-ci}{0.48--0.72} | |
| \pset{rd-tcga05-npv}{0.72} | |
| \pset{rd-tcga05-npv-ci}{0.68--0.76} | |
| \pset{rd-auc}{0.815} | |
| \pset{rd-auc-ci}{0.75--0.88} | |