Lung cancer is the second most common cancer and the leading cause of cancer-related
death worldwide. Molecular imaging using [18 F] fluorodeoxyglucose Positron Emission …

Objective To develop prognostic models for survival (alive or deceased status) prediction of
COVID-19 patients using clinical data (demographics and history, laboratory tests, visual …

Purpose To identify optimal classification methods for computed tomography (CT) radiomics-
based preoperative prediction of clear cell renal cell carcinoma (ccRCC) grade. Materials …

Objectives We evaluate the feasibility of treatment response prediction using MRI‐based pre‐
, post‐, and delta‐radiomic features for locally advanced rectal cancer (LARC) patients …

Background The aim of this work was to assess the robustness of cardiac SPECT radiomic
features against changes in imaging settings, including acquisition, and reconstruction …

Lung cancer causes more deaths globally than any other type of cancer. To determine the
best treatment, detecting EGFR and KRAS mutations is of interest. However, non-invasive …

Accurately identifying the Kirsten rat sarcoma virus (KRAS) gene mutation status in
colorectal cancer (CRC) patients can assist doctors in deciding whether to use specific …

Objective The purpose of this work was to identify the potential mutation of epidermal growth
factor receptor in nonsmall cell adenocarcinoma by noninvasive method, and to explore …

Accurate identification of histological subtypes of non-small cell lung cancer (NSCLC) is a
critical step prior to treatment decisions. It has been confirmed that radiomic approaches …

In this paper, we present a glitch-less hardware structure based on a glitch filter for the
implementation of the block ciphers. The glitch filter circuit is used to build a glitch-free …