ACFormer

Code for Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection (ICCV 2023)

(Continually updating ...)

Overall Framework

Requisities

-python=3.8

-pytorch=1.12.1+cu102

Installation

Install mmcv using mim

pip install -U openmim
mim install mmcv-full==1.6.1

Git clone acformer

git clone https://github.com/LL3RD/ACFormer.git

Install

cd ACFormer
cd thirdparty/mmdetection 
python -m pip install -e .
cd ../.. 
python -m pip install -e .

Dataset

Lizard Dataset

Your can download Original Lizard from the official website or Preprocessed Lizard that is converted to hovernet consep format and split into patches.

CoNSeP Dataset

Your can download 20x CoNSeP Dataset from here.

Main Result

Lizard Dataset

Method	F1d	F1c	Model Weights	Config Files
ACFormer	0.782	0.557	Checkpoint	Config

CoNSeP Dataset

Method	F1d	F1c	Model Weights	Config Files
ACFormer	0.739	0.613	Checkpoint	Config

Evaluation

Modify your dataset path and checkpoint path in tools/inference_lizard.py and run

python tools/inference_lizard.py

python tools/inference_consep.py

Acknowledgement

• ACFormer is built based on SoftTeacher and MMDetection.