A correct diagnosis of brain tumours is crucial to making an accurate treatment plan for
patients with the disease and allowing them to live a long and healthy life. Among a few …

With the advancement of global civilisation, monitoring and managing dumpsites have
become essential parts of environmental governance in various countries. Dumpsite …

Recent studies have demonstrated the usefulness of convolutional neural networks (CNNs)
to classify images of melanoma, with accuracies comparable to those achieved by …

Over the past decade, Deep Learning (DL) techniques have demonstrated remarkable
advancements across various domains, driving their widespread adoption. Particularly in …

Lung cancer constitutes the most severe cause of cancer-related mortality. Recent evidence
supports that early detection by means of computed tomography (CT) scans significantly …

Abstract Background and Objectives Measuring head-circumference (HC) length from
ultrasound (US) images is a crucial clinical task to assess fetus growth. To lower intra-and …

Neurodegenerative diseases occur because of degeneration in brain cells but can manifest
as impairment of motor functions. One of the side effects of this impairment is an abnormality …

Lymph node metastasis examined by the resected lymph nodes is considered one of the
most important prognostic factors for colorectal cancer (CRC). However, it requires careful …

Comet assay is a widely used technique to assess and quantify DNA damage in individual
cells. Recently, researchers have applied various deep learning techniques to automate the …

Fabric defect detection is very important in the textile quality process. Current deep learning
algorithms are not effective in detecting tiny and extreme aspect ratio fabric defects. In this …