Convolutional neural networks (CNNs) have achieved the state-of-the-art performance in skin lesion analysis. Compared with single CNN classifier, combining results of multiple classifiers via fusion approaches shows to be more effective and robust. Since datasets are usually limited statistically biased, while designing an approach, it is important consider not only each classifier on training/...

Pneumonia is a severe inflammation of the lung that could cause serious complications. Chest X-rays (CXRs) are commonly used to make diagnosis pneumonia. In this paper, we propose deep-learning-based method with spatial attention superposition (SAS) and multilayer feature fusion (MFF) facilitate pneumonia based on CXRs. Specifically, an SAS module, which takes advantage channel mechanisms, was ...

Blockchain (BC) and Machine learning (ML) technologies have been investigated for potential applications in medicine with reasonable success to date. On the other hand, as accurate early diagnosis of skin lesion classification is essential gradually increase survival rate patient, Deep-Learning (DL) ML were introduced supporting dermatologists overcome these challenges. This study designed a As...