From 1409624eddc306704de9f1f9321beb38d27a3d2b Mon Sep 17 00:00:00 2001 From: Yunguan Fu Date: Fri, 28 Jul 2023 01:12:34 +0100 Subject: [PATCH] Update readme --- README.md | 51 ++++++++++++++++--------------------------- images/method_x0.png | Bin 0 -> 223772 bytes 2 files changed, 19 insertions(+), 32 deletions(-) create mode 100644 images/method_x0.png diff --git a/README.md b/README.md index 3e3c909..fb98121 100644 --- a/README.md +++ b/README.md @@ -1,34 +1,22 @@ # Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation -
-figure2 -
- -## Results - -DS, NSD, HD, and CD represents Dice score, normalised surface Dice, 95% -Hausdorff Distance, and centroid distance. The mean and standard deviations -values are reported. +:tada: This work has been accepted at +[Deep Generative Models workshop at MICCAI 2023](https://dgm4miccai.github.io/). -### Prostate MR Data Set +:bookmark_tabs: An updated manuscript has also been uploaded at +[arXiv](https://arxiv.org/abs/2303.06040). -| Model | Diffusion Model | DS | NSD | HD | CD | -| :---- | :-------------- | :------------ | :------------ | :------------ | :------------ | -| 2D | No | 0.831 (0.098) | 0.638 (0.113) | 6.044 (1.031) | 2.824 (1.239) | -| 2D | Yes | 0.818 (0.102) | 0.615 (0.118) | 6.658 (0.839) | 3.012 (1.174) | -| 3D | No | 0.838 (0.088) | 0.648 (0.110) | 5.197 (1.184) | 2.675 (0.927) | -| 3D | Yes | 0.830 (0.094) | 0.626 (0.112) | 5.424 (1.176) | 3.009 (1.165) | +:mag_right: We are working on a follow-up work, stay tuned. -### Abdominal CT Data Set +
+figure2 +
-| Model | Diffusion Model | DS | NSD | HD | CD | -| :---- | :-------------- | :------------ | :------------ | :------------- | :------------ | -| 3D | Yes | 0.801 (0.109) | 0.540 (0.095) | 9.125 (2.564) | 4.836 (2.273) | -| 2D | Yes | 0.769 (0.127) | 0.520 (0.091) | 12.039 (2.932) | 5.121 (2.102) | -| 3D | No | 0.816 (0.100) | 0.596 (0.084) | 9.091 (2.475) | 4.275 (1.870) | -| 2D | No | 0.804 (0.109) | 0.577 (0.082) | 9.885 (2.587) | 4.416 (1.914) | +
+figure2 +
-### Reproduction +## Reproduction Install the environment and build the dataset following the documentation. Then run one of the following sets of commands. @@ -317,11 +305,10 @@ pytest --cov=imgx -n 4 tests ## Acknowledgement -This work was supported by the Wellcome/EPSRC Centre for Interventional and -Surgical Sciences (203145Z/16/Z), the EPSRC funded Centre for Doctoral Training -in Intelligent, Integrated Imaging in Healthcare (i4Health) (EP/S021930/1), the -EPSRC grant EP/T029404/1), the International Alliance for Cancer Early -Detection, an alliance between Cancer Research UK [C28070/A30912; -C73666/A31378], Canary Center at Stanford University, the University of -Cambridge, OHSU Knight Cancer Institute, University College London and the -University of Manchester, and Cloud TPUs from Google's TPU Research Cloud (TRC). +This work was supported by the EPSRC grant (EP/T029404/1), the Wellcome/EPSRC +Centre for Interventional and Surgical Sciences (203145Z/16/Z), the +International Alliance for Cancer Early Detection, an alliance between Cancer +Research UK (C28070/A30912, C73666/A31378), Canary Center at Stanford +University, the University of Cambridge, OHSU Knight Cancer Institute, +University College London and the University of Manchester, and Cloud TPUs from +Google’s TPU Research Cloud (TRC). diff --git a/images/method_x0.png b/images/method_x0.png new file mode 100644 index 0000000000000000000000000000000000000000..1aa11eda378472e49c94016394552cbd9fe6276a GIT binary patch literal 223772 zcmeFZXH-<_wkWy)1r?CCQBX-{RFX>0sI90Z6-g3XBuFaBnJSyDm=F~Ki3K8{zk2l_X)5XI8;~cHY0D=ZGL2$I<`MUA=j127aV-ys3NvNp0XBgNJPv z=he<5NJaqj#-G~}hI<)T|2Tikjc&3B`?7n{oqvVtHwvBTp|r>gv5w>BwxZp3tAcuS zJ;y0Adp;K2YQx1j|9&*W8COo9wX~1v>l4k@imQ|iDsWS3 zhPL<81J!H~ABaflu{>sz;c{=#-&O7Hmx}#$4b6!a@+qOyjdflH2?dKDTF&PA1pM^9 z8>yI)u@SOYu|?rIet`7X*cEZ$*Prm;hudD#{r!l$Lyz8iYbc$iyZh^J1c`o&ocrg~ zbyehFb~$+h$MVm2d)bvx6mE^DI}b7Z`Wr#Y|9u>ajDI6@lO_JmDl|O&&y+iT_T>B! zpM$exzDsh;cgg}reDIO$tARS|3cC@c?2}*kD`D_sYce! zdV|5YW#7C$JYHa9*r#}|zq)c$2jMg$#l>7@U8k2GJ$_CAQWPk;$x|j~ZH0&XBdAyRyYJh1$W>3? 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