This repo covers synthetic generation of histopathology images.

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

Implementation of "Synthetic Data Generation and Classification of Histopathological Images"

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

Curation of resources of McMedHacks Workshop

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".

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.

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

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

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

Image Retrieval using GNNs and Foundation Model Features (2024)

Our solution for BreastPathQ cancer cellularity challenge

Redes Neurais - Detecção de Câncer em Imagens

Pathology Atlas (English version of Patoloji Atlası)

KBSMC_colon_tma_cancer_grading_1024_dataset

Breast Cancer Histopathological Image Classification