Automatic segmentation methods are an important advancement in medical image analysis.
Machine learning techniques, and deep neural networks in particular, are the state-of-the-art …

Gastric cancer is a common and deadly cancer in the world. The gold standard for the
detection of gastric cancer is the histological examination by pathologists, where Gastric …

Analyzing medical data to find abnormalities is a time-consuming and costly task,
particularly for rare abnormalities, requiring tremendous efforts from medical experts …

Simple Summary Colorectal carcinoma is characterized by intratumoral heterogeneity that
can be assessed by radiogenomics. Radiomics, high-throughput quantitative data extracted …

Cure rates for kidney cancer vary according to stage and grade; hence, accurate diagnostic
procedures for early detection and diagnosis are crucial. Some difficulties with manual …

In the aquaponic system, plant nutrients bioavailable from fish excreta are not sufficient for
optimal plant growth. Accurate and timely monitoring of the plant's nutrient status grown in …

Medical image interpretation is an essential task for the correct diagnosis of many diseases.
Pathologists, radiologists, physicians, and researchers rely heavily on medical images to …

Abstract The use of Unmanned Aerial Systems (UAS, aka drones) has shown to be feasible
to perform marine litter surveys. We operationally tested the use of multispectral images (5 …

In this paper, a novel evolutionary optimization algorithm, named Partial Reinforcement
Optimizer (PRO), is introduced. The major idea behind the PRO comes from a psychological …

Despite the recent advances in immune therapies, melanoma remains one of the deadliest
and most difficult skin cancers to treat. Literature reports that multifarious driver oncogenes …