The digital information age has been a catalyst in creating a renewed interest in Artificial
Intelligence (AI) approaches, especially the subclass of computer algorithms that are …

Background: Deep convolutional neural networks (CNNs) have yielded promising results in
automatic whole slide images (WSIs) processing for digital pathology in recent years …

Molecular imaging is a key tool in the diagnosis and treatment of prostate cancer (PCa).
Magnetic Resonance (MR) plays a major role in this respect with nuclear medicine imaging …

Necrosis seen in histopathology Whole Slide Images is a major criterion that contributes
towards scoring tumour grade which then determines treatment options. However …

Simple Summary Canine soft-tissue sarcomas are a group of tumours that arise from the
skin and subcutaneous connective tissue. The most common method used to predict the …

In this work, we compare the performance of six state-of-the-art deep neural networks in
classification tasks when using only image features, to when these are combined with …

It is no secret that the rise of the Internet and other digital technologies has sparked renewed
interest in AI-based techniques, especially those that fall under the umbrella of the subset of …

The aim of this work is to distinguish between wild-type mice and Scn5a+/− mutant mice
using short ECG signals. This mutation results in impaired cardiac sodium channel function …

Transfer learning may explain pigeons' ability to detect cancer in histopathology Page 1
Bioinspiration & Biomimetics PAPER • OPEN ACCESS Transfer learning may explain pigeons’ …

Assessment of histology presented within tissue slides is an essential expert task
undertaken by pathologists to determine diagnosis and the aggressiveness of a tumour thus …