Digital pathology represents one of the major evolutions in modern medicine. Pathological
examinations constitute the gold standard in many medical protocols, and also play a critical …

This paper presents a review of the state-of-the-art in histopathology image representation
used in automatic image analysis tasks. Automatic analysis of histopathology images is …

Modified Bloom-Richardson (mBR) grading is known to have prognostic value in breast
cancer (BCa), yet its use in clinical practice has been limited by intra-and interobserver …

Detecting cancer at an early stage is useful in better patient prognosis and treatment
planning. Even though there are several preliminary tests and non-invasive procedures that …

Image analysis tools for cancer, such as automatic nuclei segmentation, are impacted by the
inherent variation contained in pathology image data. Convolutional neural networks (CNN) …

Being able to describe the content of an image, adapted to a particular application, is
essential in various domains related to image analysis and pattern recognition. In this …

Neoadjuvant treatment (NAT) of breast cancer (BCa) is an option for patients with the locally
advanced disease. It has been compared with standard adjuvant therapy with the aim of …

It has become undeniable that global land surface temperature (LST) has continued to rise
in recent years. The threat of extreme heat to humans has become self-evident, especially in …

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Expert pathologists commonly perform visual interpretation of histology slides for cervix
tissue abnormality diagnosis. We investigated an automated, localized, fusion-based …