This repo covers synthetic generation of histopathology images.

Image Retrieval using GNNs and Foundation Model Features (2024)

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

Our solution for BreastPathQ cancer cellularity challenge

Redes Neurais - Detecção de Câncer em Imagens

An automated CAD (Computer aided diagnosis) system for the classification of the breast histopathology images. It contains machine learning (feature extraction) and deep learning (transfer learning) pipelines.

Pathology Atlas (English version of Patoloji Atlası)

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"

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.

Histopathology Image Classification via Supervised Contrastive Deep Learning

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

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…

Breast Cell Nuclei Segmentation, project work done as a part of Internship at Machine Vision Lab, IIT Roorkee.

Code for "Difficulty Translation in Histopathology Images" full paper at Artificial Intelligence in Medicine (AIME) 2020.

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

TCNN: A Transformer Convolutional Neural Network for artifact classification in whole slide images