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Check out the documentation for more information.
馃К FreqPath-Net: Frequency-aware Pathology Segmentation Network
This repository hosts the Trained checkpoints for FreqPath-Net, a deep learning framework designed for high-precision cell and tissue segmentation in histopathological images.
馃殌 Model Overview
FreqPath-Net is a frequency鈥搒patial consistent deep segmentation network designed for robust nuclei segmentation in computational pathology. It addresses structural instability caused by diverse morphologies, blurred boundaries, and staining variations by enforcing frequency鈥搒patial consistency in feature learning.
馃 Checkpoints
| Category | Dataset | Description | File |
|---|---|---|---|
| 馃Й Cell Segmentation | CPM17 路 Kumar 路 MoNuSeg 路 PUMA 路 BBBC020 路 DSB18 路 CoNSeP 路 CPM15 路 CryoNuSeg 路 PanNuke 路 TNBC 路 NuInsSeg | Histopathological images | cell/*.pth |
| 馃┖ Other Medical Tasks | BUSI-WHU 路 PSFH 路 Brain Tumor MRI 路 Dataset-B 路 LIDC-IDRI 路 GlaS | Ultrasound / gland / CT segmentation benchmarks | other/*.pth |
All
.pthfiles are stored via Git LFS.
Each checkpoint corresponds to a model trained under the same backbone and fusion scheme, with dataset-specific fine-tuning.
馃摝 Usage
1锔忊儯 Clone or load from Hugging Face
git lfs install
git clone https://huggingface.co/huangjin520/FreqPath-Net
馃摤 Contact
For any questions or collaborations, please contact Jin Huang, Shengqian Wang or open an issue on GitHub.