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

Simulation of Tumor Fluorescence Time Profiles

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…

My research poster presentations

Obsolete buildout for the EDRN Public Portal

Knowledge System DB

Dissertation on Cancer Detection [Prostate Cancer] Research and Study

Predicting the breast cancer using Machine learning

Related files with "cMaxDriver: A Centrality Maximization Intersection Approach for Prediction of Cancer-Causing Genes in the Transcriptional Regulatory Network" article!

Program for identifying, tallying, and classifying cancer cells.

Demonstrating the use of explainable methods by interpreting the decisions of several neural network models.

Submission Dicoding Belajar Penerapan Machine Learning untuk Android

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