Agricultural crop production is a major contributing element to any country's economy. To
maintain the economic growth of any country plants disease detection is a leading factor in …

Abstract Alkali-Silica Reaction (ASR), commonly known as 'concrete cancer,'is an expansive
reaction occurring over time between aggregate constituents and alkaline hydroxides from …

Medical image segmentation plays a key role in the diagnosis of spinal diseases. Unet has
become a universal structure for image segmentation because of its unique skip connection …

Gastrointestinal cancer is a prevalent disease, and analyzing pathological images is crucial
for its diagnosis and treatment. Considering the characteristics of pathological images, we …

The crisp partitional clustering techniques like K-Means (KM) are an efficient image
segmentation algorithm. However, the foremost concern with crisp partitional clustering …

Complexity is one of the major attributes of the visual perception of texture. However, very
little is known about how humans visually interpret texture complexity. A psychophysical …

Breast cancer is one of the most serious types of cancer that can occur in women. The
automatic diagnosis of breast cancer by analyzing histological images (HIs) is important for …

In today's world, the medical diagnostic system shows a high reliance on medical imagery
and digital nosology. To facilitate the fast and precise screening of samples, technology is …

Objective. Learning-based histopathology image (HI) classification methods serve as
important tools for auxiliary diagnosis in the prognosis stage. However, most existing …

The histopathological analysis is the benchmark in the diagnosis of breast cancer. During
the formation of microscopic images, it may be corrupted due to Poisson noise, artifacts, and …