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GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
GitHub

Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification

This work is supported by the National Natural Science Foundation of China (NSFC) under Grant No.62476049. Some parts of codes in this repo are adapted from the following amazing works. We thank the ...
Nature

Machine-learning model generates images using light

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...
IEEE

Few-Shot Hyperspectral Image Classification Using Relational Generative Adversarial Network

Abstract: Hyperspectral image (HSI) classification is an essential task in remote sensing, but its performance is greatly affected by limited labeled samples. Currently, generative adversarial network ...
IEEE

Deep Hybrid Architecture for Very Low-Resolution Image Classification Using Capsule Attention

Abstract: Despite extensive applications in surveillance and remote sensing, research on very low-resolution (VLR) image classification remains relatively unexplored in comparison to high-resolution ...