IEEE

Hyperspectral Image Classification Using CNN-Enhanced Multi-Level Haar Wavelet Features Fusion Network

Abstract: Convolutional neural networks (CNNs) are widely utilized in hyperspectral image (HSI) classification due to their powerful capability to automatically learn features. However, ordinary CNN ...
Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

Breaking tunnel vision, imaging AI lifts fluorescence image restoration accuracy and speed

Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...

FireANTs unlocks faster medical image matching, cutting analysis from a week to minutes

Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to ...
IEEE

Automatic Indonesian Image Caption Generation using CNN-LSTM Model and FEEH-ID Dataset

Abstract: Image captioning is a challenge in computer vision research. This paper extends research on automatic image captioning generation in the Indonesian dimension. Description in Indonesian ...