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.
Obsolete buildout for the EDRN Public Portal
Dissertation on Cancer Detection [Prostate Cancer] Research and Study
Program for identifying, tallying, and classifying cancer cells.
EDRN's knowledge using the Resource Description Format (RDF)
My final Bachelor-project in HS Koblenz to creating a deep learning modell for skin cancer detection using python and integrate that in a website using django
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.
Breast cancer classification project.
Undergrad Thesis on Yolo based colorectal polyp detection with GUI
Early Detection of Cancer using Medical Images
Breast cancer is the second leading cause of cancer death among women. This project attempts attempts to classify tumors as malignant or benign using machine learning models.
Cancer Classification using Bottleneck Adapters
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.
Cancer Detetction Machine Learning Model
This repository contains the codes for reproducing the results obtained by out DeepHistoPathology model for Ivasive Ductal Carcinoma open Dataset cancer detection
A cancer-detection app that shows probability of a cancerous cell with the use of YoLov8 model
This repository houses a workflow that uses biological feature trees to segregate cancer RNA-seq datasets, then it trains machine learning models to predict the presence or absence of known, cancer-associated DNA-level mutations.
π Discover the future of healthcare with our Lung Cancer Detection Project. Using advanced machine learning techniques, we've achieved 92% accuracy in identifying lung cancer. Join us at the forefront of medical AI. π©ββοΈπ #AIHealthcare #LungCancerDetection
to detect Breast Cancer from Tests
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