An experiment using neural networks to predict obesity-related breast cancer over a small dataset of blood samples.
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Updated
Apr 19, 2020 - Python
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
This repository contains a deep learning model for skin cancer classification using the InceptionV3 architecture. The model was trained on the HAM10000 dataset and is designed with computational efficiency in mind. It was developed to be able to run on a CPU.
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
An algorithm to detect if a cancerous tumour is malignant or benign based on attributes data in the form of .CSV files.
Taşınabilir Cihazlarda Gerçek Zamanlı Kanser Tespiti ve Sınıflandırmasını Yapan Uygulama
🏥 ISIC - Skin Cancer 🔎 Exploratoy Data Analysis
Pre-Processing Segmentation Datasets for the Hydra Framework
Project focuses on diagnosing cancer through image analysis. It utilizes machine learning models and techniques to analyze medical images and classify cancerous cells or tumors. It aims to improve cancer diagnosis accuracy and assist healthcare professionals.
Brain Tumor Classification from MRI Images
Label free enrichment and characterisation of single circulating tumor cells
This project is a Cancer Detection model made using Python. This project uses Deep Convolutional Neural Networks to identify the metastatic tissues in histopathologic scans.
Kanser Türleri Ayırt Etmek Amacıyla Parçacık Sürüsü Optimizasyonu Kullanılarak Konvolüsyonel (Evrişimli) Modelleri En Efektif Şeklide Eğitme
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