From 172bc8e92b0b6fbf77f0970d4dc11e0a397008d2 Mon Sep 17 00:00:00 2001 From: Artur Feoktistov Date: Fri, 29 Apr 2022 17:41:07 +0000 Subject: [PATCH] =?UTF-8?q?=E2=80=9EREADME.md=E2=80=9C=20=C3=A4ndern?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 35 +++++------------------------------ 1 file changed, 5 insertions(+), 30 deletions(-) diff --git a/README.md b/README.md index 835f420..cf9656a 100644 --- a/README.md +++ b/README.md @@ -1,35 +1,10 @@ -# C-NMC Challenge -This is the code release for the paper: -Prellberg J., Kramer O. (2019) Acute Lymphoblastic Leukemia Classification from Microscopic Images Using Convolutional Neural Networks. In: Gupta A., Gupta R. (eds) ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging. Lecture Notes in Bioengineering. Springer, Singapore +# Masterarbeit: Anomalie-Detektion in Zellbildern zur Anwendung der Leukaemieerkennung -## Usage +Dritter Platz der ISBI2019 (Supervised) mit Codeanpassungen bzw. Ergaenzungen. -Use the script `main_manual.py` to train the model on the dataset. The expected training data layout is described below. +**Offizieller Release von Prellberg et al.:https://github.com/jprellberg/isbi2019cancer** -Use the script `submission.py` to apply the trained model to the test data. - -## Data Layout - -The training data during the challenge was released in multiple steps which is why the data layout is a little peculiar. - -``` -data/fold_0/all/*.bmp -data/fold_0/hem/*.bmp -data/fold_1/... -data/fold_2/... -data/phase2/*.bmp -data/phase3/*.bmp -data/phase2.csv -``` - -The `fold_0` to `fold_2` folders contain the training images with two subdirectories for the two classes each. The directories `phase2` and `phase3` are the preliminary test-set and test-set respectively and contain images numbered starting from `1.bmp`. The labels for the preliminary test-set are specified in `phase2.csv` which looks as follows: - -``` -Patient_ID,new_names,labels -UID_57_29_1_all.bmp,1.bmp,1 -UID_57_22_2_all.bmp,2.bmp,1 -UID_57_31_3_all.bmp,3.bmp,1 -UID_H49_35_1_hem.bmp,4.bmp,0 -``` +Zum trainieren und evaluieren von Modellen: run.ipynb +Bereits trainierte Modelle: ../results/ \ No newline at end of file