Compared with common deep learning methods (eg, convolutional neural networks),
transfer learning is characterized by simplicity, efficiency and its low training cost, breaking …

Deep learning is a branch of artificial intelligence where networks of simple interconnected
units are used to extract patterns from data in order to solve complex problems. Deep …

One of the life-threatening disease affecting the brain is the cancer of the brain. Detection of
the tumor at an early stage becomes essential in order to save life's. One of the techniques …

Automatic femur segmentation from computed tomography volume is a crucial but
challenging task for computer-aided diagnosis in orthopedic surgeries. The main obstacles …

The success of deep learning on image classification and recognition tasks has led to new
applications in diverse contexts, including the field of medical imaging. However, two …

Accurate segmentation and delineation of the sub-tumor regions are very challenging tasks
due to the nature of the tumor. Traditionally, convolutional neural networks (CNNs) have …

Accepted: 10 June 2021 Magnetic resonance Imaging (MRI) is one of the most utilized
medical imaging techniques for detecting and diagnosing the different abnormalities such as …

Detecting abnormalities in the human body with magnetic resonance imaging has long been
a challenge in medical computer-aided diagnosis (CAD). This paper presents a …

Breast cancer represents a significant global health challenge and has emerged as one of
the leading threats to human life, particularly among women. However, The process of …

Gliomas account for approximately 80% of all malignant brain tumors and are associated
with the most unfavourable survival rates amongst all brain tumor types. Segmenting these …