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Hepatocellular carcinoma (HCC) is the most common primary liver malignancy and is a leading cause of cancer-related death worldwide. However, cure is not possible with currently used therapies, and there is not so much approved targeted…

Genomics · Quantitative Biology 2017-07-18 Liang Yu , Fengdan Xu , Lin Gao

Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and the fourth most common cause of cancer-related death worldwide. Understanding the underlying gene mutations in HCC provides great prognostic value for…

Hepatocellular carcinoma (HCC) is a common type of liver cancer whose early-stage diagnosis is a common challenge, mainly due to the manual assessment of hematoxylin and eosin-stained whole slide images, which is a time-consuming process…

Image and Video Processing · Electrical Eng. & Systems 2025-03-03 Ajinkya Deshpande , Deep Gupta , Ankit Bhurane , Nisha Meshram , Sneha Singh , Petia Radeva

Hepatocellular carcinoma (HCC) can be potentially discovered from abdominal computed tomography (CT) studies under varied clinical scenarios, e.g., fully dynamic contrast enhanced (DCE) studies, non-contrast (NC) plus venous phase (VP)…

Computer Vision and Pattern Recognition · Computer Science 2021-08-18 Chi-Tung Cheng , Jinzheng Cai , Wei Teng , Youjing Zheng , YuTing Huang , Yu-Chao Wang , Chien-Wei Peng , Youbao Tang , Wei-Chen Lee , Ta-Sen Yeh , Jing Xiao , Le Lu , Chien-Hung Liao , Adam P. Harrison

Hepatocellular carcinoma is the most spread primary liver cancer across the world ($\sim$80\% of the liver tumors). The gold standard for HCC diagnosis is liver biopsy. However, in the clinical routine, expert radiologists provide a visual…

Computer Vision and Pattern Recognition · Computer Science 2025-01-15 E. Sarfati , A. Bône , M-M. Rohé , C. Aubé , M. Ronot , P. Gori , I. Bloch

Cancer is a term that denotes a group of diseases caused by abnormal growth of cells that can spread in different parts of the body. According to the World Health Organization (WHO), cancer is the second major cause of death after…

Machine Learning · Computer Science 2023-01-31 Fadi Alharbi , Aleksandar Vakanski

Motivation: Hepatocellular carcinoma (HCC) is a significant health problem worldwide and annual number of cases are nearly more than 700,000. However,there are few safe and effective thera-peutic options for HCC patients.Here, we propose a…

Tissues and Organs · Quantitative Biology 2017-07-05 Liang Yu , Fengdan Xu , Lin Gao

With the increased affordability and availability of whole-genome sequencing, large-scale and high-throughput gene expression is widely used to characterize diseases, including cancers. However, establishing specificity in cancer diagnosis…

Machine Learning · Statistics 2018-12-21 Xi Chen , Jin Xie , Qingcong Yuan

Chronic Hepatitis B (CHB) is an independent risk factor for hepatocellular carcinoma (HCC) initiation without cirrhosis occurrence. Apart from the favorable effects of some antiviral drugs following tumor resection on the survival of HCC…

Molecular Networks · Quantitative Biology 2023-06-29 Sedigheh Behrouzifar

The discovery of important biomarkers is a significant step towards understanding the molecular mechanisms of carcinogenesis; enabling accurate diagnosis for, and prognosis of, a certain cancer type. Before recommending any diagnosis,…

Quantitative Methods · Quantitative Biology 2019-09-11 Md. Rezaul Karim , Michael Cochez , Oya Beyan , Stefan Decker , Christoph Lange

Gene mutation prediction in hepatocellular carcinoma (HCC) is of great diagnostic and prognostic value for personalized treatments and precision medicine. In this paper, we tackle this problem with multi-instance multi-label learning to…

Machine Learning · Computer Science 2022-03-24 Kaixin Xu , Ziyuan Zhao , Jiapan Gu , Zeng Zeng , Chan Wan Ying , Lim Kheng Choon , Thng Choon Hua , Pierce KH Chow

The objective of this paper is to provide a baseline for performing multi-modal data classification on a novel open multimodal dataset of hepatocellular carcinoma (HCC), which includes both image data (contrast-enhanced CT and MRI images)…

Gene expression analysis is a critical method for cancer classification, enabling precise diagnoses through the identification of unique molecular signatures associated with various tumors. Identifying cancer-specific genes from gene…

Quantitative Methods · Quantitative Biology 2024-10-11 Farzana Tabassum , Sabrina Islam , Siana Rizwan , Masrur Sobhan , Tasnim Ahmed , Sabbir Ahmed , Tareque Mohmud Chowdhury

Hepatocellular carcinoma (HCC), ranking as the third leading cause of cancer-related mortality worldwide, demands urgent improvements in early detection to enhance patient survival. While ultrasound remains the preferred screening modality…

Computer Vision and Pattern Recognition · Computer Science 2025-03-21 Chaoyin She , Ruifang Lu , Danni He , Jiayi Lv , Yadan Lin , Meiqing Cheng , Hui Huang , Fengyu Ye , Lida Chen , Wei Wang , Qinghua Huang

Abnormal metabolism is an emerging hallmark of cancer. Cancer cells utilize both aerobic glycolysis and oxidative phosphorylation (OXPHOS) for energy production and biomass synthesis. Understanding the metabolic reprogramming in cancer can…

Molecular Networks · Quantitative Biology 2017-11-28 Fengdan Ye , Dongya Jia , Mingyang Lu , Herbert Levine , Michael W Deem

Early diagnosis of the cancer cells is necessary for making an effective treatment plan and for the health and safety of a patient. Nowadays, doctors usually use a histological grade that pathologists determine by performing a…

Computer Vision and Pattern Recognition · Computer Science 2023-11-15 Varan Singh Rohila , Neeraj Lalwani , Lochan Basyal

Gene expression can be used to subtype breast cancer with improved prediction of risk of recurrence and treatment responsiveness over that obtained using routine immunohistochemistry (IHC). However, in the clinic, molecular profiling is…

Computer Vision and Pattern Recognition · Computer Science 2023-05-09 Raktim Kumar Mondol , Ewan K. A. Millar , Peter H Graham , Lois Browne , Arcot Sowmya , Erik Meijering

Late diagnosis and high costs are key factors that negatively impact the care of cancer patients worldwide. Although the availability of biological markers for the diagnosis of cancer type is increasing, costs and reliability of tests…

Machine Learning · Computer Science 2019-08-20 Sterling Ramroach , Melford John , Ajay Joshi

The aetiology of head and neck squamous cell carcinoma (HNSCC) involves multiple carcinogens such as alcohol, tobacco and infection with human papillomavirus (HPV). As the HPV infection influences the prognosis, treatment and survival of…

Computer Vision and Pattern Recognition · Computer Science 2022-06-17 Ruoyu Wang , Syed Ali Khurram , Amina Asif , Lawrence Young , Nasir Rajpoot

Head and Neck Squamous Cell Carcinoma (HNSCC) is one of cancer type that is most distressing leading to acute pain, effecting speech and primary survival functions such as swallowing and breathing. The morbidity and mortality of HNSCC…

Genomics · Quantitative Biology 2021-05-18 Saurav Mandal , Akshansh Gupta , Waribam Pratibha Chanu
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