This paper presents a cost-effective data acquisition & medical imaging system using
electrical impedance tomography (EIT). The presented method investigates & analyses the …

Breast cancer is a deadliest disease worldwide among the women. By some means early
detection is very important to overcome it by prognosing on time. Deep networks having …

In the medical field, computer vision systems, and especially image diagnostics, provide a
wide range of useful tools. Computed tomography (CT) scans are the gold standard for …

Fractal image compression is a lossy approach that makes efficient use of the picture's
inherent redundancy using affine transformations. It has been discovered that the traditional …

Image noise is one of the key issues in image processing applications today. The noise will
affect the quality of the image and thus degrades the actual information of the image. Visual …

Diabetic retinopathy (DR) is a serious disease which affects vision of diabetic patients. This
may cause partial and complete blindness. There are so many works have been carried in …

It is well acknowledged that lung cancer is one of the leading causes of mortality globally.
The scientific community has worked diligently to develop methods for detecting lung cancer …

In fractal image compression, similarities between the picture's self-similar components,
often known as fractals, are exploited in order to create a novel method of image …

A harmful bacteria known as MT is the primary cause of the communicable disease
tuberculosis (TB)(Mycobacterium Tuberculosis). This disease can be treated but because of …

Most frequent cancer which happens in women is breast cancer. One of the newest fields in
today's diagnostic system is digital pathology. Image segmentation is an important step …