To improve efficiency and classification accuracy, and overcome the issue of poor
generalization performance of traditional fabric defect classification methods, we present a …

Abstract Content-based Image Retrieval (CBIR) aids radiologist to identify similar medical
images in recalling previous cases during diagnosis. Although several algorithms have …

In current consequence of haematology, blood cancer ie acute lymphoblastic leukemia is
very frequently founded in medical practice, which is characterized by over activation and …

The drawback of pixel-based change detection is that it neglects the spatial correlation with
neighboring pixels and has a high commission ratio. In contrast, object-based change …

To improve accuracy in clothing image recognition, this paper proposes a clothing
classification method based on a parallel convolutional neural network (PCNN) combined …

To ameliorate the precision of clothing image classification, we proposed a clothing image
classification method via the DenseNet201 network based on transfer learning and the …

This paper proposes a new method that uses Alexnet with ImageNet transfer learning as the
feature extractor and optimized and regularized extreme learning as the classifier. We keep …

A skin lesion is a part of the skin that has abnormal growth on body parts. Early detection of
the lesion is necessary, especially malignant melanoma, which is the deadliest form of skin …

Masses in breast are the important radiographic signs of cancer. Develo** automated
detection of these masses is the main objective in the medical detection of breast cancer …

Nowadays, huge number of mammograms has been generated in hospitals for the
diagnosis of breast cancer. Content-based image retrieval (CBIR) can contribute more …