Liver and liver tumor segmentation from 3D volumetric images has been an active research
area in the medical image processing domain for the last few decades. The existence of …

Cancer is a condition in which abnormal cells uncontrollably split and damage the body
tissues. Hence, detecting cancer at an early stage is highly essential. Currently, medical …

Background Liver segmentation is a fundamental step in the treatment planning and
diagnosis of liver cancer. However, manual segmentation of liver is time-consuming …

In this paper, we develop a detection module with strong training testing to develop a dense
convolutional neural network model. The model is designed in such a way that it is trained …

Proteins play a vital role in the human body as they perform important metabolic tasks.
Experimental identification of protein structure is expensive and time consuming. The …

Abstract Backgound and Objective: Deep learning-based segmentation of the liver and
hepatic lesions therein steadily gains relevance in clinical practice due to the increasing …

Precise tumor segmentation on DCE-MRI images is critical for the diagnosis and treatment
of breast cancer. Automatic segmentation methods help specialists reduce the heavy …

Community-acquired pneumonia (CAP) is a type of pneumonia acquired outside the
hospital. To recognize CAP more efficiently and more precisely, we propose a novel method …

Abstract Machine learning and computer vision techniques have grown rapidly in recent
years due to their automation, suitability, and ability to generate astounding results. Hence …

Cancer is a devastating and deadly disease, and liver cancer is one of the leading causes of
cancer deaths. Early detection of liver tumor is important to choose a treatment plan, get an …