IEEE

IMed-CNN: Ensemble Learning Approach With Systematic Model Dropout for Enhanced Medical Image Classification Using Image Channels and Pixel Intervals

Abstract: To obtain light ensemble model through clearly explained effective ensemble member selection and finding data representation in various valuable forms are major challenges in medical image ...
news.gov.hk

Cultivating AI innovation on campus

Spearheaded by the Digital Policy Office, the IT Innovation Lab in Secondary Schools programme and the Knowing More About IT ...
Hosted on MSN

Sleep Stage Classification with Python: EEG, Scikit-Learn & MNE

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!
GitHub

image-classification-model

Image Classification Model, You can upload the following images: TRANSPORTS: Car, Boat, Airplane, Rocket, Helicopter, CARNIVORES: Raccoon, Otter, Dog, Lion, Tiger ...
IEEE

Developing a Python-Based Framework for Eye Disease Classification Using Machine-Deep Learning Techniques for Enhanced Diagnosis

Abstract: Elderly eye conditions are a serious health issue. As people age, their eye tissues' ability to function normally declines, and the prevalence of ocular disease rises. People with a personal ...
GitHub

galaxy-classification

SDSS telescopes have captured over 40 TB worth of galaxy images and classification of these images is the first step towards obtaining a deeper understanding of physical processes within them, star ...