Development and validation of an image-based deep learning algorithm for detection of synchronous peritoneal carcinomatosis in colorectal cancer
Objective: The aim of this study was to build a SVM classifier using ResNet-3D algorithm by
artificial intelligence for prediction of synchronous PC. Background: Adequate detection and …
artificial intelligence for prediction of synchronous PC. Background: Adequate detection and …
[HTML][HTML] Development and validation of a deep learning system for ascites cytopathology interpretation
Abstract Background Early diagnosis of Peritoneal metastasis (PM) is clinically significant
regarding optimal treatment selection and avoidance of unnecessary surgical procedures …
regarding optimal treatment selection and avoidance of unnecessary surgical procedures …
[HTML][HTML] Risk factors for synchronous peritoneal metastases in colorectal cancer: a systematic review and meta-analysis
Y Zhang, X Qin, R Luo, H Wang, H Wang… - Frontiers in …, 2022 - frontiersin.org
Background Early detection of synchronous colorectal peritoneal metastases (CPMs) is
difficult due to the absence of typical symptoms and the low accuracy of imaging …
difficult due to the absence of typical symptoms and the low accuracy of imaging …
[HTML][HTML] Predictive factors of synchronous colorectal peritoneal metastases: development of a nomogram and study of its utilities using decision curve analysis
S Mo, W Dai, W Xiang, Q Li, R Wang, G Cai - International Journal of …, 2018 - Elsevier
Background The objective of this study was to summarize the clinicopathological and
molecular features of synchronous colorectal peritoneal metastases (CPM). We then …
molecular features of synchronous colorectal peritoneal metastases (CPM). We then …
The histological diagnosis of colonic adenocarcinoma by applying partial self supervised learning
SUK Bukhari, A Syed, SKA Bokhari, SS Hussain… - MedRxiv, 2020 - medrxiv.org
Background The cancer of colon is one of the important cause of morbidity and mortality in
adults. For the management of colonic carcinoma, the definitive diagnosis depends on the …
adults. For the management of colonic carcinoma, the definitive diagnosis depends on the …
Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches
Abstract Background and Objective The increased incidence of colorectal cancer (CRC) and
its mortality rate have attracted interest in the use of artificial intelligence (AI) based …
its mortality rate have attracted interest in the use of artificial intelligence (AI) based …
Accuracy of FDG-PET/CT in colorectal peritoneal carcinomatosis: potential tool for evaluation of chemotherapeutic response
G Liberale, C Lecocq, C Garcia, K Muylle… - Anticancer …, 2017 - ar.iiarjournals.org
Background/Aim: Neoadjuvant chemotherapy may be administered to patients with
peritoneal carcinomatosis (PC) of colorectal cancer (CRC) origin. This study evaluated the …
peritoneal carcinomatosis (PC) of colorectal cancer (CRC) origin. This study evaluated the …
Automated Classification and Segmentation in Colorectal Images Based on Self‐Paced Transfer Network
Colorectal imaging improves on diagnosis of colorectal diseases by providing colorectal
images. Manual diagnosis of colorectal disease is labor‐intensive and time‐consuming. In …
images. Manual diagnosis of colorectal disease is labor‐intensive and time‐consuming. In …
Crccn-net: Automated framework for classification of colorectal tissue using histopathological images
Colorectal cancer has a high mortality rate that continuously affects human life globally.
Early detection of it extends human life and helps in preventing disease. Histopathological …
Early detection of it extends human life and helps in preventing disease. Histopathological …
Deep Learning-Based Model for Identifying Tumors in Endoscopic Images From Patients With Locally Advanced Rectal Cancer Treated With Total Neoadjuvant …
HM Thompson, JK Kim… - Diseases of the Colon …, 2023 - journals.lww.com
BACKGROUND: A barrier to the widespread adoption of watch-and-wait management for
locally advanced rectal cancer is the inaccuracy and variability of identifying tumor response …
locally advanced rectal cancer is the inaccuracy and variability of identifying tumor response …