A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.

A multi-centre polyp detection and segmentation dataset for generalisability assessment https://www.nature.com/articles/s41597-023-01981-y

Image classifier for colon cancer detection from colonoscopies.

GitHub repository for Medico automatic polyp segmentation challenge

Image classification on lung and colon cancer histopathological images through Capsule Networks or CapsNets.

Kvasir-SEG: A Segmented Polyp Dataset

KBSMC colon cancer grading dataset repository

Detection of Colon Cancer Cell and its types using a semi-supervised approach with deep learning

Repo which includes the medical data sets used in a feature selection paper proposed by OASYS group

Codes for parameter estimation and sensitivity analysis of QSP models for colon cancer. This is a part of the National Cancer Institute funded project titled "Data-driven QSP software for personalized colon cancer treatment" Achyuth Manoj, Susanth Kakarla, Suvra Pal and Souvik Roy.

Find patients who have concerning tests but no timely follow-up

Exploring the Supervised Learning Models to Automatically Diagnose Colon Cancer Patients based on their SNP Profiles

A collaborative research project by Me and Ankita Nag focused on trends, detection methods, and early diagnosis of colorectal cancer.

TRAL pipeline for tandem repeat detection in proteins. Specifically in such which are related to colorectal cancer.

colorectal cancer

KBSMC_colon_tma_cancer_grading_1024_dataset

Developed a fine-tuned EfficientNetB0 model which is a pre-trained Convolutional Neural Network (CNN) model to train using lungs and colon cancer dataset and classify if the unseen image belonged to benign, adenocarcinoma or squamous cell carcinoma cancer type.

This repository contains the code for an AI-Based Universal Lesion Segmentation application based on my master's thesis. It includes a deep learning model for CT scan segmentation, a web interface built with Vite and React, and a Flask server for backend support.

Rasa Gastroenterologist AI Chatbot to help doctor detect patients colon cancer lesions using Unity, Darknet Yolo, Keras CNN