With the development of functional imaging modalities we now have the ability to study the
microenvironment of lung cancer and its genomic instability. Radiomics is defined as the use …

In recent years, researches are concentrating on the effectiveness of Transfer Learning (TL)
and Ensemble Learning (EL) techniques in cervical histopathology image analysis …

Cancer progression is caused by genetic changes and associated with various alterations in
cell properties, which also affect a tumor's mechanical state. While an increased stiffness …

Immune checkpoint blockade is an emerging anticancer strategy, and Nivolumab is a
human mAb to PD‑1 that is used in the treatment of a number of different malignancies …

Background It is a permanent challenge to differentiate small solid lung nodules. Massive
data, extracted from medical image through radiomics analysis, may help early diagnosis of …

Cervical cancer is the fourth leading cause of cancer-related deaths. It is very important to
make the precise diagnosis for the early stage of cervical cancer. In recent years, transfer …

Radiomics has revolutionized the world of medical imaging. The aim of this review is to
guide oncologists in radiomics and its applications in diagnosis, prediction of response and …

The Discrete Compactness is a factor that describes the shape of an object. One of its main
strengths lies in its low sensitivity to variations, due to noise or capture defects, in the shape …

Resumen ARRIAGADA C, OSCAR et al. Rol de las características clínicas e histológicas
como factores pronósticos para la sobrevida en pacientes con carcinoma de células …

This work is devoted to present a methodology for the computation of Discrete Compactness
in n-dimensional orthogonal pseudo-polytopes. The proposed procedures take in account …