Official implementation of FPNuNet: A Frequency-Aware Prompt-Guided Network for Nuclear Segmentation and Classification in IHC images.
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Updated
Nov 27, 2025 - Python
Official implementation of FPNuNet: A Frequency-Aware Prompt-Guided Network for Nuclear Segmentation and Classification in IHC images.
Redes Neurais - Detecção de Câncer em Imagens
Deep learning analysis of the PCAM dataset
This is my solution for "Global AI Hackathon'25 by Elucidata" competition.
BIBM2023 regular paper for "Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images"
Histopathology Image Classification via Supervised Contrastive Deep Learning
The official implementations of our BIBM'24 paper: Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading
Following repository demonstrates machine learning architectures that can correctly classify lesions between LM and AMH. Overall, our methods showcase the potential for computer-aided diagnosis in dermatology, which, in conjunction with remote acquisition can expand the range of diagnostic tools in the community. This code is implemented using K…
Code for "Difficulty Translation in Histopathology Images" full paper at Artificial Intelligence in Medicine (AIME) 2020.
Classification of Breast Cancer using Histopathological Images
Tensorflow 2.0 implementation of the M-LSA method.
Breast Cancer Image Classification On WSI With Spatial Correlations https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
KBSMC_colon_tma_cancer_grading_1024_dataset
Implementation of "Synthetic Data Generation and Classification of Histopathological Images"
Official Repository for "Detection of tumour infiltrating lymphocytes in CD3 and CD8 stained histopathological images using a two-phase deep CNN"
The nuclei detection method on histology image proposed in the 2017 paper by Peikari et al.
Code for "Difficulty Translation in Histopathology Images" full paper at Artificial Intelligence in Medicine (AIME) 2020.
Deep learning based method called hist2RNA to predict the expression of genes using digital images of stained tissue samples
The code for LAGE-Net
🌟 GPU-accelerated stain normalization command line tool
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