Multiclass classification model using a custom convolutional neural network for accurately detecting melanoma.

Find breast cancers in screening mammograms

CT Scan Lung Cancer Detection

My research poster presentations

Histopathologic metastatic breast cancer detection with convolution neural networks on pathology whole slide images using TensorFlow.

Predicting if a mass detected in a mammogram is benign or maligant ,on the basis of that we can easily tell that whether its sign of cancer or not. previously this work is done using seeing the mammogram image manually by doctor predicting whether its maligant or not but now we are using Machine learning model to learn from previous patient data…

cancer detection from histopathological images

Create a model which can determine if the patient has cancer or not. This project was done with Vidya Durai (BNY Mellon), during my second year of college.

In Testing - comments welcome. Tool to provide guidance on colonoscopic surveillance based on BSG/PHE/ACPGBI 2019 surveillance guidelines and BSG hereditary cancer guidelines.

Breast Cancer Classififer Model ( ML ) With Hyper Parameter Tuning 97% Accuracy

🔍 Project to learn how to cooperate with image database in Deep Learning. Creating a model to skin diseases detection.

Breast cancer classification project.

Undergrad Thesis on Yolo based colorectal polyp detection with GUI

EDRN's knowledge using the Resource Description Format (RDF)

Pre-Processing Segmentation Datasets for the Hydra Framework. Contains preprocessing scripts and a module capable of creating segmentation masks

Official repository of "Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models"

Obsolete buildout for the EDRN Public Portal

Knowledge System DB

Predicting the breast cancer using Machine learning