Abstract: Bone cancer represent a diagnosis challenge since this form of cancer appears rarely in patient populations. Traditional convolutional neural networks known as CNNs are frequently used for ...
Abstract: Infrared-visible image fusion methods aim at generating fused images with good visual quality and also facilitate the performance of high-level tasks. Indeed, existing semantic-driven ...
Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...
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