X Cheng, X Xu, D Chen, F Zhao, W Wang - Biomedicine & …, 2019 - Elsevier
Aberrant Wnt/β-catenin signaling has often been reported in different cancers, particularly colorectal cancer (CRC), and this signaling cascade is central to carcinogenesis …
JD Vogel, SI Felder, AR Bhama… - Diseases of the Colon …, 2022 - journals.lww.com
METHODS This guideline is based on the previous colon cancer parameter published in 2017. 10 Compared with 2017, this guideline has 11 new, 10 updated, and 2 excluded …
NN Baxter, EB Kennedy, E Bergsland… - Journal of Clinical …, 2022 - ascopubs.org
PURPOSE To develop recommendations for adjuvant therapy for patients with resected stage II colon cancer. METHODS ASCO convened an Expert Panel to conduct a systematic …
Y Huang, C Liang, L He, J Tian, C Liang… - Journal of clinical …, 2016 - ascopubs.org
Purpose To develop and validate a radiomics nomogram for preoperative prediction of lymph node (LN) metastasis in patients with colorectal cancer (CRC). Patients and Methods …
K Chen, G Collins, H Wang, JWT Toh - Current Oncology, 2021 - mdpi.com
The prognostication of colorectal cancer (CRC) has traditionally relied on staging as defined by the Union for International Cancer Control (UICC) and American Joint Committee on …
The spread of cancer cells from primary tumors to regional lymph nodes is often associated with reduced survival. One prevailing model to explain this association posits that fatal …
JD Vogel, C Eskicioglu, MR Weiser… - Diseases of the Colon …, 2017 - journals.lww.com
Abstract The American Society of Colon and Rectal Surgeons is dedicated to ensuring high- quality patient care by advancing the science, prevention, and management of disorders …
HJ Schmoll, E Van Cutsem, A Stein, V Valentini… - Annals of oncology, 2012 - Elsevier
Colorectal cancer (CRC) is the most common tumour type in both sexes combined in Western countries. Although screening programmes including the implementation of faecal …
Y Zhao, F Yang, Y Fang, H Liu… - Proceedings of the …, 2020 - openaccess.thecvf.com
Multiple instance learning (MIL) is a typical weakly-supervised learning method where the label is associated with a bag of instances instead of a single instance. Despite extensive …