Feature extraction is the first and most critical step in image classification. Most existing
image classification methods use hand-crafted features, which are not adaptive for different …

Multiparametric imaging is a critical tool in the noninvasive study and assessment of cancer.
Imaging methods have evolved over the past several decades to provide quantitative …

Computer-aided diagnosis systems for assisting the classification of various diseases have
the potential to improve radiologists' diagnostic accuracy and efficiency, as reported in …

Medical imaging is critical for assessing the response of patients to new cancer therapies.
Quantitative lesion assessment on images is time-consuming, and adopting new promising …

This paper presents an integrated dietary assessment system based on food image analysis
that uses mobile devices or smartphones. We describe two components of our integrated …

Computer-assisted image retrieval applications can assist radiologists by identifying similar
images in archives as a means to providing decision support. In the classical case, images …

There are two key challenges hindering effective use of quantitative assessment of imaging
in cancer response assessment: 1) Radiologists usually describe the cancer lesions in …

Scientific applications often store datasets in self-describing data file formats, such as HDF5
and netCDF. Regrettably, to efficiently search the metadata within these files remains …

Computer-assisted image retrieval applications could assist radiologist interpretations by
identifying similar images in large archives as a means to providing decision support …

Medical image file formats make the confusing aspect to young researchers who start work
with medical images. Medical image format conversion is still a tedious task due to the …