Frontiers

Neuro-detection: Advancements in Pattern Detection and Segmentation Techniques in Neuroscience

Neuroscience is a rapidly advancing field that seeks to understand the complexities of the human mind and brain. One avenue ...
IEEE

Learning Positive–Negative Prompts for Open-Set Remote Sensing Scene Classification

Abstract: Most remote sensing scene classification (RSSC) methods are primarily built upon the closed-set assumption, which assumes that all test samples definitely belong to one of the categories ...
IEEE

MambaMTL: Progressive Mutual-Guided Mamba Multitask Learning for Hyperspectral Image Pansharpening and Classification

Abstract: Multitask learning (MTL) serves as an effective technology to improve both the performance of hyperspectral image (HSI) pansharpening and that of downstream classification tasks. However, ...
Frontiers

Quantifying post-treatment vascular remodeling in brain aneurysms using WEKA-based machine learning: a pilot study

Introduction: To evaluate the feasibility of a WEKA-based machine learning pipeline for detecting post-treatment hemodynamic remodeling by comparing pre- and postoperative cerebral angiographic images ...