An experiment using neural networks to predict obesity-related breast cancer over a small dataset of blood samples.

Includes my work done in the field of ML especially in the medical domain

Find breast cancers in screening mammograms

Trabajo de Fin de Máster. Desarrollo de múltiples modelos predictivos para la detección de cáncer de mama.

CT Scan Lung Cancer Detection

Utilizing deep learning for accurate skin cancer prediction from lesion images for early diagnosis.

Simulation of Tumor Fluorescence Time Profiles

My research poster presentations

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

Medical image processing using machine learning is an emerging field of study which involves making use of medical image data and drawing valuable inferences out of them. Segmentation of any body of interest from a medical image can be done automatically using machine learning algorithms. Deep learning has been proven effective in the segmentati…

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.

This project identifies the mutation in genes for cancer detection using textual evidences.

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

Convolution Neural Network to predict Skin cancer. Skin cancer is considered as one of the most dangerous types of cancers and there is a drastic increase in the rate of deaths due to lack of knowledge on the symptoms and their prevention. Thus, early detection at premature stage is necessary so that one can prevent the spreading of cancer. Skin…

His study addresses these concerns by predicting prostate cancer using six (6) machine learningtechniques: Random Forest, SVM, KNN, Logistic Regression, Neutral Network, and the Ensemble model. We gathered data from 100 patients who were placed in ten different circumstances. The data was categorised as malignant or non-cancerous. Among the six …

🔍 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