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Skin lesion segmentation and classification using deep learning and handcrafted features
In this research, we form a new type of image features, called hybrid features, which has stronger discrimination ability than single method features.
Fused Deep Convolutional Neural Network for Precision Diagnosis of COVID-19 Using Chest X-Ray Images
In this paper we propose a computer-aided diagnosis (CAD) to accurately classify chest X-ray scans of COVID-19 and normal subjects by fine-tuning several neural networks (ResNet18, ResNet50, DenseNet201) pre-trained on the ImageNet dataset.
Understanding Deep Neural Network Predictions for Medical Imaging Applications
Computer-aided detection has been a research area attracting great interest in the past decade.
Skin Lesion Segmentation and Classification for ISIC 2018 by Combining Deep CNN and Handcrafted Features
Our score was 0. 841 with SVM classifier on the validation dataset.
Skin Lesion Segmentation and Classification for ISIC 2018 Using Traditional Classifiers with Hand-Crafted Features
This paper provides the required description of the methods used to obtain submitted results for Task1 and Task 3 of ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection.
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