Affective computing, a subcategory of artificial intelligence, detects, processes, interprets,
and mimics human emotions. Thanks to the continued advancement of portable non …

Extending technologies and data development culminated in the need for quicker and more
reliable processing of massive data sets. Machine Learning techniques are used …

Prediction of breast tumour malignancy using ultrasound imaging, is an important step for
early detection of breast cancer. An efficient prediction system can be a great help to …

Lung cancer has emerged as a major cause of death among all demographics worldwide,
largely caused by a proliferation of smoking habits. However, early detection and diagnosis …

Ovarian Cancer (OC) is a type of cancer that affects ovaries in women, and is difficult to
detect at initial stage resulting to increased mortality rate. The OC data generated from the …

The objective of this paper is to explore an expedient image segmentation algorithm for
medical images to curtail the physicians' interpretation of computer tomography (CT) scan …

Automatic segmentation of lung tumors is a crucial and challenging problem. Many existing
methods suffer from ambiguity of tissue regions and tumor regions, which occur with similar …

Lung cancer is the primary reason of cancer deaths worldwide, and the percentage of death
rate is increasing step by step. There are chances of recovering from lung cancer by …

Medical image processing technique are widely used for detection of tumor to increase the
survival rate of patients. The development of computer-aided diagnosis system shows …

Simple Summary Cancer is a deadly disease that needs to be diagnose at early stage to
increase patient survival rate. Multi-organ (such as breast, brain, lung, and skin) cancer …