Digital image analysis of histological datasets is a currently expanding field of research. With
different stains, magnifications and types of tissues, histological images are inherently …

We study a set of linear transformations on the Fourier series representation of a sequence
that can be used as the basis for similarity queries on time-series data. We show that our set …

Cell-graphs: image-driven modeling of structure-function relationship Page 1 74
COMMUNICATIONS OF THE ACM | JANUARY 2017 | VOL. 60 | NO. 1 review articles THE …

Tuberculosis (TB), primarily affecting the lungs, is caused by the bacterium Mycobacterium
tuberculosis and poses a significant health risk. Detecting acid-fast bacilli (AFB) in stained …

Background Mammography has established itself as the most efficient technique for the
identification of the pathological breast lesions. Among the various types of lesions …

Objectives: Precision medicine requires the measurement, quantification, and cataloging of
medical characteristics to identify the most effective medical intervention. However, the …

The structure/function relationship is fundamental to our understanding of biological systems
at all levels, and drives most, if not all, techniques for detecting, diagnosing, and treating …

Epithelial to mesenchymal transition (EMT) is a fundamental process during development
and disease, including development of the heart valves and tumour metastases. An …

Prognosis of breast cancer is primarily predicted by the histological grading of the tumor,
where pathologists manually evaluate microscopic characteristics of the tissue. This labor …

In this paper, we introduce a biologically motivated dynamic graph-based growth model to
describe and predict the stages of cleft formation during the process of branching …