IEEE

Wavelet-Based Multi-Stream Spatial-Frequency Fusion Network for Few-Shot Hyperspectral Image Classification

Abstract: In the research of hyperspectral image classification, deep learning-based methods have achieved promising results. However, due to the high cost and difficulty in obtaining labeled ...
GitHub

deep-learning-project

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 ...
Frontiers

Deep learning-based classification of multiple fundus diseases using ultra-widefield images

1 Department of ophthalmology, JiuJiang City Key Laboratory of Cell Therapy, Jiujiang No. 1 People’s Hospital, JiuJiang, Jiangxi, China 2 Department of Otolaryngology, The Seventh Affiliated Hospital, ...
Frontiers

Synergizing BRDF correction and deep learning for enhanced crop classification in GF-1 WFV imagery

Crop classification is a key task in remote sensing, supporting agricultural monitoring, food security, and ecological management (Ding et al., 2023; Gentry et al., 2025). The Gaofen-1 (GF-1) ...
Scientific Research Publishing

Papoutsis, I., Bountos, N.I., Zavras, A., Michail, D. and Tryfonopoulos, C. (2021) Benchmarking and Scaling of Deep Learning Models for Land Cover Image Classification. ISPRS ...

ABSTRACT: Cancer, in general, and skin cancer, in particular, is a genetic disease caused by cell division malfunction. It represents a major public health problem due to the large number of deaths ...
IEEE

A Multitask Deep Learning Model for Classification and Regression of Hyperspectral Images: Application to a Large-Scale Dataset

Abstract: Multitask learning is a widely recognized technique in the field of computer vision and deep learning domain. However, it is still a research question in remote sensing, particularly for ...