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 ...

Abstract: Deep learning models, especially deep convolutional neural networks (CNNs), have been intensively investigated for hyperspectral image (HSI) classification due to their powerful feature ...

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 ...

Unofficial implementation of Mengenali Jenis Tanaman Obat Berbasis Pola Citra Daun Dengan Algoritma K-Nearest Neighbors (Recognizing Types of Medicinal Plants Based on Leaf Image Patterns with ...

Abstract: This paper proposes a new framework for deep learning that has been particularly tailored for hyperspectral image classification. We learn multiple levels of dictionaries in a robust fashion ...

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery. This is a tensorflow and keras based ...

Transfer Learning utilises pre-trained models to tackle similar tasks, reducing the need for extensive training data. Developing deep learning models from scratch is often impractical due to the ...