Convolutional neural networks (CNN) are widely used in computer vision and medical
image analysis as the state-of-the-art technique. In CNN, pooling layers are included mainly …

Diabetic retinopathy (DR) is the most important complication of diabetes. Early diagnosis by
performing retinal image analysis helps avoid visual loss or blindness. A computer-aided …

Prostate cancer is the one of the most dominant cancer among males. It represents one of
the leading cancer death causes worldwide. Due to the current evolution of artificial …

Diabetic Retinopathy (DR) is a complication of diabetes which affects the retina. Early and
the correct identification of the DR is necessary to determine the appropriate treatment …

Prostate cancer (PCa) is one of the most prevalent cancers worldwide. As the demand for
prostate biopsies increases, a worldwide shortage and an uneven geographical distribution …

Uveal melanoma (UM) is a severe intraocular cancer in adults aged 50-80, often originating
from choroidal nevus, a common intraocular tumour. This transformation can lead to vision …

This paper presents a systemic analysis on the implications of the loss function, batch size
and optimiser function applied within the multi-output regression problem domain of Head …

Convolutional Neural Networks (CNNs) became the de-facto standard for medical image
analysis. In CNN, pooling layers are used for downsampling feature maps by aggregating …

Diabetic retinopathy (DR) is an extreme case of diabetes that could lead to lifelong
blindness if left untreated in the preliminary stages. Early detection is a challenge and …

The field of histopathology, which involves visual examination of tissue samples at a
microscopic scale, is very important for the diagnosis of cancer. Although this task is …