Brain is an amazing organ that controls all activities of a human. Any abnormality in the
shape of anatomical regions of the brain needs to be detected as early as possible to reduce …

Recently, there has been an advancement in the development of innovative computer-aided
techniques for the segmentation and classification of retinal vessels, the application of which …

Brain tumors are deadly but become deadliest because of delayed and inefficient diagnosis
process. Large variations in tumor types also instigate additional complexity. Machine vision …

The early diagnosis of cancer is crucial to provide prompt and adequate management of the
diseases. Imaging tests, in particular magnetic resonance imaging (MRI), are the first …

Diagnosing burns in humans has become critical, as early identification can save lives. The
manual process of burn diagnosis is time-consuming and complex, even for experienced …

Convolutional neural networks (CNNs) show excellent performance in accurate medical
image segmentation. However, the characteristics of sample with small size and insufficient …

Ultrasound imaging (US) is one of the most common diagnostic imaging tools for producing
images of the human body in clinical practice. This work is devoted to studying ultrasound …

Detecting brain tumours is complex due to the natural variation in their location, shape, and
intensity in images. While having accurate detection and segmentation of brain tumours …

Automated grading of colon biopsy images across all magnifications is challenging because
of tailored segmentation and dependent features on each magnification. This work presents …

Attention deficit/hyperactivity disorder is a neurological disorder characterized by inattention,
hyperactivity and impulsivity. Since the resting functional magnetic resonance imaging (rs …