To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...

White Blood Cell Classification is a deep learning project built with Python, TensorFlow, and Keras that classifies five types of WBCs from microscopic images using a CNN model. With advanced image ...

Abstract: Today, the day-to-day generation of such a large amount of content on social media and other websites makes it impossible to maintain each image manually, so the need for automatically ...

Abstract: One of the most interesting & important areas of computer vision is classification. Deep learning is important in image classification because it allows for the grouping of similar images.

Brain tumours are caused by the abnormal growth of cells in the brain. This occurs mainly due to genetic changes or exposure to X-ray radiation. When the tumours are detected early, they can be ...

[TNNLS 2023] The official repo for the paper "HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search".

Electrical and Computer Engineering Department, Bioengineering Department and California Nano Systems Institute (CNSI), University of California, Los Angeles, California 90095, United States ...