Over the next decade, Internet of Things (IoT) and high-speed 5G network will be crucial in enabling remote access to healthcare system for easy fast diagnosis. In this paper, an IoT-based deep learning computer-aided diagnosis (CAD) framework is proposed online real-time COVID-19 identification. The work first fine-tuned five state-of-the-art CNN models such as Xception, ResNet50, DenseNet201,...

The greatest cause of death for both men and women globally is lung cancer. This mostly because it manifests no symptoms at first only identified a late stage, when the patient's condition has already gotten worse. Typically, skilled expert will thoroughly examine CT scans to make diagnosis Finding interpreting abnormalities on scan can be quite challenging, even highly medical professionals. I...

Computer tomography imaging Technique plays an important role in medical imaging research for diagnosis of liver diseases. Automatic detection of liver is the most essential parts in computer-aided diagnosis for liver CT as well as computer-aided surgery. CAD is used by radiologists as a second opinion in detecting tumors, accessing the extent of diseases and making diagnostic decision. Automat...

The objective of this work is to develop a digitized mammograms’ feature extraction approach using Kohonen’s Self-Organizing Maps (SOM). Once developed, the SOM network will be used as the first processing stage in a breast cancer computer aided diagnosis (CAD) system. Its role will be to offer segmented data as input to a second stage dedicated to the diagnosis task, which will be implemented ...

Medical imaging analysis such as diagnosis of mammography frequently requires advanced image processing capabilities, including transformation, ltering or enhancement which need high-speed image manipulation, and display. Such functionality is important to support technical end-users in Radiology and CAD (Computer Aided Diagnosis). We have designed an eecient parallel algorithm to support inter...

-Hepatic cancer is the fifth most common cancer in the world and the majority of patients with liver cancer as a result will die within one year. Computer Aided Diagnosis (CAD) systems help a great deal in aiding the detection and diagnosis of cancer. They serve as an effective second opinion. Computed Tomography (CT) is one of the commonly used imaging modalities in the cancer domain since it ...

Computer aided detection (CAD) is a technology designed to decrease observational oversights--and thus the false negative rates--of physicians interpreting medical images. Prospective clinical studies have demonstrated an increase in breast cancer detection with CAD assistance. This overview briefly describes the metrics that have been used to define CAD system performance.

Tuberculosis (TB) is an infectious disease that has been a major menace to human health globally, causing millions of deaths yearly. Well-timed diagnosis and treatment are arch full recovery the patient. Computer-aided (CAD) hopeful choice for TB diagnosis. Many CAD approaches using machine learning have applied diagnosis, specific artificial intelligence (AI) domain, which led resurgence AI in...