Image Segmentation has been an active field of research as it has a wide range of
applications, ranging from automated disease detection to self driving cars. In the past five …

Breast cancer has become a symbol of tremendous concern in the modern world, as it is one
of the major causes of cancer mortality worldwide. In this regard, breast ultrasonography …

Deep neural networks have achieved great success in medical image segmentation
problems such as liver, kidney, the accuracy of which already exceeds the human level …

Introduction Organ-at-risk segmentation for head and neck cancer radiation therapy is a
complex and time-consuming process (requiring up to 42 individual structure, and may …

Background Although accurate treatment response assessment for brain metastases (BMs)
is crucial, it is highly labor intensive. This retrospective study aimed to develop a computer …

Clouds play a vital role in Earth's water cycle and the energy balance of the climate system;
understanding them and their composition is crucial in comprehending the Earth …

Quantitative volumetric evaluation of the placenta in fetal MRI scans is an important
component of the fetal health evaluation. However, manual segmentation of the placenta is …

Pelvic floor disorders mainly affect women and turn to be a public health issue although their
pathophysiology is still poorly understood. As the main concerned organs undergo motions …

Deep neural networks (DNNs) have been extensively studied in medical image
segmentation. However, existing DNNs often need to train shape models for each object to …

Given the diversity of cloud-forcing mechanisms, it is difficult to classify and characterize all
cloud types through the depth of a specific troposphere. Importantly, different cloud families …