Liver cancer is one of the leading causes of cancer death. To assist doctors in hepatocellular
carcinoma diagnosis and treatment planning, an accurate and automatic liver and tumor …

A common shortfall of supervised deep learning for medical imaging is the lack of labeled
data, which is often expensive and time consuming to collect. This article presents a new …

Training deep convolutional neural networks usually requires a large amount of labeled
data. However, it is expensive and time-consuming to annotate data for medical image …

Diabetic retinopathy (DR) and diabetic macular edema (DME) are the leading causes of
permanent blindness in the working-age population. Automatic grading of DR and DME helps …

In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS),
which was organized in conjunction with the IEEE International Symposium on …

Pinocembrin (5,7-dihydroxyflavanone) is one of the primary flavonoids isolated from the
variety of plants, mainly from Pinus heartwood, Eucalyptus, Populus, Euphorbia, and …

Although the incidences are increasing day after day, scientists and researchers taken
individually or by research group are trying to fight against cancer by several ways and also by …

Neurodegenerative diseases are conventionally demarcated as disorders with selective loss
of neurons. Conventional as well as newer molecules have been tested but they offer just …

Tissue engineering (TE) has been used as an attractive and efficient process to restore the
original tissue structures and functions through the combination of biodegradable scaffolds, …

Automatic breast lesion segmentation in ultrasound helps to diagnose breast cancer, which
is one of the dreadful diseases that affect women globally. Segmenting breast regions …