Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slides [PDF]
In this paper, we present a deep learning segmentation approach to classify and quantify the two most prevalent primary liver cancers - hepatocellular carcinoma and intrahepatic cholangiocarcinoma - from hematoxylin and eosin (H&E) stained whole slide images.
arxiv
Current prognostic systems for intrahepatic cholangiocarcinoma (IHCC) rely on surgical pathology data and are not applicable to a preoperative setting. We aimed to develop and validate preoperative models to predict postsurgical outcomes in mass-forming ...
H. Park+10 more
semanticscholar +1 more source
A Polarization and Radiomics Feature Fusion Network for the Classification of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma [PDF]
Classifying hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) is a critical step in treatment selection and prognosis evaluation for patients with liver diseases. Traditional histopathological diagnosis poses challenges in this context.
arxiv
Atmospheric pressure plasma jets applied to cancerology: correlating electrical configurations with in vivo toxicity and therapeutic efficiency [PDF]
Two atmospheric pressure plasma jet devices - a plasma gun and a plasma Tesla jet - are compared in terms of safety and therapeutic efficiency to reduce the tumor volume progression of cholangiocarcinoma, i.e. a rare and very aggressive cancer emerging in biliary tree. For this, a three steps methodology is carried out.
arxiv +1 more source
EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, Featuring Prognostic Stratification Boosting [PDF]
Histopathology-based survival modelling has two major hurdles. Firstly, a well-performing survival model has minimal clinical application if it does not contribute to the stratification of a cancer patient cohort into different risk groups, preferably driven by histologic morphologies.
arxiv
Importance Although surgery offers the best chance of a potential cure for patients with localized, resectable intrahepatic cholangiocarcinoma (ICC), prognosis of patients remains dismal largely because of a high incidence of recurrence.
D. Tsilimigras+26 more
semanticscholar +1 more source
A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI [PDF]
Objectives: to propose a fully-automatic computer-aided diagnosis (CAD) solution for liver lesion characterization, with uncertainty estimation. Methods: we enrolled 400 patients who had either liver resection or a biopsy and was diagnosed with either hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma, or secondary metastasis, from 2006 ...
arxiv
Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic Vessels via Cross-attention Mechanism [PDF]
Accurate visualization of liver tumors and their surrounding blood vessels is essential for noninvasive diagnosis and prognosis prediction of tumors. In medical image segmentation, there is still a lack of in-depth research on the simultaneous segmentation of liver tumors and peritumoral blood vessels. To this end, we collect the first liver tumor, and
arxiv
Intratumoral immune status influences tumor therapeutic response, but it remains largely unclear how the status determines therapies for patients with intrahepatic cholangiocarcinoma.
Jia-Cheng Lu+29 more
semanticscholar +1 more source
Three m7G‐related lncRNAs (LINC00412, REPIN1‐AS1, and RPH3AL‐AS1) are associated with the prognosis of gastric cancer patients and may be novel biomarkers. These lncRNAs may also have an influence on the immune status of gastric cancer patients. Abstract Long noncoding RNA (lncRNA) may act as a biomarker to predict the overall survival (OS) of cancer ...
Peisen Guo+6 more
wiley +1 more source