Computational histopathology is focused on the automatic analysis of rich phenotypic
information contained in gigabyte whole slide images, aiming at providing cancer patients …

Deforestation has become a major cause of climate change, and as a result, both
characterizing the drivers and estimating segmentation maps of deforestation have piqued …

Cardiovascular diseases related to the right side of the heart, such as Pulmonary
Hypertension, are some of the leading causes of death among the Mexican (and worldwide) …

Detection of Tumor-Infiltrating Lymphocytes (TILs) has a high prognostic value in cancer
diagnosis due to their ability to identify and kill cancer cells. However, this task is non-trivial …

Abstract Semantic segmentation of Remote Sensing (RS) images involves the classification
of each pixel in a satellite image into distinct and non-overlapping regions or segments. This …

Recent works have shown that Transformer's excellent performances on natural language
processing tasks can be maintained on natural image analysis tasks. However, the …

Voxel-based multiple testing is widely used in neuroimaging data analysis. Traditional false
discovery rate (FDR) control methods often ignore the spatial dependence among the voxel …

Organ segmentation has become a preliminary task for computer-aided intervention,
diagnosis, radiation therapy, and critical robotic surgery. Automatic organ segmentation from …

Background The retinal vasculature, a crucial component of the human body, mirrors various
illnesses such as cardiovascular disease, glaucoma, and retinopathy. Accurate …

Simple Summary Accounting for 10% of the new cases in 2020, colorectal cancer (CRC) is
one of the most prevalent cancers worldwide. Unfortunately, CRC is frequently identified at a …