Official implementation of FPNuNet: A Frequency-Aware Prompt-Guided Network for Nuclear Segmentation and Classification in IHC images.

Ressources of histopathology datasets

Deep learning based method called hist2RNA to predict the expression of genes using digital images of stained tissue samples

Pathology Atlas (English version of Patoloji Atlası)

Patoloji Atlası

This project detects breast cancer from histopathology images using a convolutional neural network (CNN). The system analyzes tissue images and classifies them as either normal or cancerous.

This repo covers synthetic generation of histopathology images.

This is my solution for "Global AI Hackathon'25 by Elucidata" competition.

Detect HPV as the primary cause of Head and Neck Carcinoma.

This repository contains the code for the conference paper titled "Feature extraction and unsupervised clustering of histopathological images of pancreatic cancer using information maximization".

This repository hosts the codebase for the conference paper titled "Denoising diffusion probabilistic model for generating histopathology images".

BIBM2023 regular paper for "Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images"

Deep Learning Model to Classify Histopathological Cancer Tissues

Awesome List of Digital and Computational Pathology Resources

image classification on CIFAR-10 with ResNet, medical image analysis on breast histopathology images using CNNs, and image captioning on Flickr8k, Flickr30k, and MSCOCO datasets with advanced architectures like LSTM and attention mechanisms.

Image Retrieval using GNNs and Foundation Model Features (2024)

The official implementations of our BIBM'24 paper: Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading

Histopathology Image Classification via Supervised Contrastive Deep Learning

Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "