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Non-small cell lung cancer (NSCLC) is often intrinsically resistant to several first- and second-line therapeutics and can rapidly acquire further resistance after a patient begins receiving treatment. Treatment outcomes are therefore…

Biomolecules · Quantitative Biology 2024-10-23 Benjamin K. Schneider , Sebastien Benzekry , Jonathan P. Mochel

Lung cancer is a devastating disease with the highest mortality rate among cancer types. Over 60% of non-small cell lung cancer (NSCLC) patients, which accounts for 87% of diagnoses, require radiation therapy. Rapid treatment initiation…

Image and Video Processing · Electrical Eng. & Systems 2024-08-02 Hamed Hooshangnejad , Xue Feng , Gaofeng Huang , Rui Zhang , Katelyn Kelly , Quan Chen , Kai Ding

Causal discovery is becoming a key part in medical AI research. These methods can enhance healthcare by identifying causal links between biomarkers, demographics, treatments and outcomes. They can aid medical professionals in choosing more…

Lung cancer has a high rate of recurrence in early-stage patients. Predicting the post-surgical recurrence in lung cancer patients has traditionally been approached using single modality information of genomics or radiology images. We…

Image and Video Processing · Electrical Eng. & Systems 2020-02-07 Vaishnavi Subramanian , Minh N. Do , Tanveer Syeda-Mahmood

The differentiation between pathological subtypes of non-small cell lung cancer (NSCLC) is an essential step in guiding treatment options and prognosis. However, current clinical practice relies on multi-step staining and labelling…

Quantitative Methods · Quantitative Biology 2026-03-10 Zhenya Zang , David A Dorward , Katherine E Quiohilag , Andrew DJ Wood , James R Hopgood , Ahsan R Akram , Qiang Wang

Colorectal cancer (CRC) ranks as the second leading cause of cancer-related deaths and the third most prevalent malignant tumour worldwide. Early detection of CRC remains problematic due to its non-specific and often embarrassing symptoms,…

Machine Learning · Computer Science 2025-04-25 Natalia Sikora , Robert L. Manschke , Alethea M. Tang , Peter Dunstan , Dean A. Harris , Su Yang

Lung and Colon cancer are one of the leading causes of mortality and morbidity in adults. Histopathological diagnosis is one of the key components to discern cancer type. The aim of the present research is to propose a computer aided…

Image and Video Processing · Electrical Eng. & Systems 2020-09-09 Sanidhya Mangal , Aanchal Chaurasia , Ayush Khajanchi

Importance: Lung cancer is the leading cause of cancer mortality in the US, responsible for more deaths than breast, prostate, colon and pancreas cancer combined and it has been recently demonstrated that low-dose computed tomography (CT)…

Lung cancer is a leading cause of cancer mortality globally, highlighting the importance of understanding its mortality risks to design effective patient-centered therapies. The National Lung Screening Trial (NLST) employed computed…

Early detection of lung cancer is essential in reducing mortality. Recent studies have demonstrated the clinical utility of low-dose computed tomography (CT) to detect lung cancer among individuals selected based on very limited clinical…

Computer Vision and Pattern Recognition · Computer Science 2019-02-25 Jiachen Wang , Riqiang Gao , Yuankai Huo , Shunxing Bao , Yunxi Xiong , Sanja L. Antic , Travis J. Osterman , Pierre P. Massion , Bennett A. Landman

Lung cancer remains one of the most common and deadliest forms of cancer worldwide. The likelihood of successful treatment depends strongly on the stage at which the disease is diagnosed. Therefore, early detection of lung cancer represents…

Image and Video Processing · Electrical Eng. & Systems 2026-02-16 Volodymyr Sydorskyi

Lung cancer remains one of the leading causes of cancer-related mortality, yet most survival models rely only on baseline factors and overlook posttreatment variables that reflect disease progression. To address this gap, we applied Cox…

Applications · Statistics 2025-10-03 Varun Vishwanathan Nair , Victor Miranda Soberanis

Survival prediction is a crucial task associated with cancer diagnosis and treatment planning. This paper presents a novel approach to survival prediction by harnessing comprehensive information from CT and PET scans, along with associated…

Image and Video Processing · Electrical Eng. & Systems 2024-10-01 Aiman Farooq , Deepak Mishra , Santanu Chaudhury

Lung cancer is the most common form of cancer found worldwide with a high mortality rate. Early detection of pulmonary nodules by screening with a low-dose computed tomography (CT) scan is crucial for its effective clinical management.…

Image and Video Processing · Electrical Eng. & Systems 2020-06-17 Rakshith Sathish , Rachana Sathish , Ramanathan Sethuraman , Debdoot Sheet

Liver cancer is a leading cause of cancer-related mortality worldwide, with its high genetic heterogeneity complicating diagnosis and treatment. This study introduces DLSOM, a deep learning framework utilizing stacked autoencoders to…

Genomics · Quantitative Biology 2024-12-18 Fabio Zamio

The diagnosis of primary liver cancers (PLCs) can be challenging, especially on biopsies and for combined hepatocellular-cholangiocarcinoma (cHCC-CCA). We automatically classified PLCs on routine-stained biopsies using a weakly supervised…

Difficulty in identifying cancer stage in health care claims data has limited oncology quality of care and health outcomes research. We fit prediction algorithms for classifying lung cancer stage into three classes (stages I/II, stage III,…

Applications · Statistics 2022-06-22 Savannah Bergquist , Gabriel Brooks , Mary Beth Landrum , Nancy Keating , Sherri Rose

Cancer has become one of the most widespread diseases in the world. Specifically, breast cancer is diagnosed more often than any other type of cancer. However, breast cancer patients and their individual tumors are often unique. Identifying…

Quantitative Methods · Quantitative Biology 2016-12-06 Chenzhe Qian

Lung cancer continues to be a major healthcare challenge with high morbidity and mortality rates among both men and women worldwide. The majority of lung cancer cases are of non-small cell lung cancer type. With the advent of targeted…

Quantitative Methods · Quantitative Biology 2019-01-23 Andrew A. Borkowski , Catherine P. Wilson , Steven A. Borkowski , Lauren A. Deland , Stephen M. Mastorides

Lung cancer is one of the death threatening diseases among human beings. Early and accurate detection of lung cancer can increase the survival rate from lung cancer. Computed Tomography (CT) images are commonly used for detecting the lung…

Machine Learning · Statistics 2019-11-26 Md Rashidul Hasan , Muntasir Al Kabir