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An estimated 300 million people worldwide suffer from asthma, and this number is expected to increase to 400 million by 2025. Approximately 250,000 people die prematurely each year from asthma out of which, almost all deaths are avoidable.…

Computers and Society · Computer Science 2018-04-13 Saksham Kukreja

Computer-Aided Diagnosis and Treatment of Tumors is a hot topic of deep learning in recent years, which constitutes a series of medical tasks, such as detection of tumor markers, the outline of tumor leisures, subtypes and stages of tumors,…

Image and Video Processing · Electrical Eng. & Systems 2020-11-03 Dan Zhao , Guizhi Xu , Zhenghua XU , Thomas Lukasiewicz , Minmin Xue , Zhigang Fu

In the current technological era, the medical profession has emerged as one of the researchers' favorite subject areas, and cancer is one of them. Because there is now no effective treatment for this illness, it is a matter of concern. Only…

Machine Learning · Computer Science 2024-10-23 Praneeth Kumar T , Nidhi Srivastava , Rakshith Mahishi , Chayadevi M L

Oral cancer presents a formidable challenge in oncology, necessitating early diagnosis and accurate prognosis to enhance patient survival rates. Recent advancements in machine learning and data mining have revolutionized traditional…

Machine Learning · Computer Science 2025-06-13 Mohammad Subhi Al-Batah , Muhyeeddin Alqaraleh , Mowafaq Salem Alzboon

Medulloblastoma (MB) is the most common malignant brain tumor in childhood. The diagnosis is generally based on the microscopic evaluation of histopathological tissue slides. However, visual-only assessment of histopathological patterns is…

Image and Video Processing · Electrical Eng. & Systems 2021-09-14 Marcel Bengs , Michael Bockmayr , Ulrich Schüller , Alexander Schlaefer

Microbeam radiation therapy (MRT) utilizes coplanar synchrotron radiation beamlets and is a proposed treatment approach for several tumour diagnoses that currently have poor clinical treatment outcomes, such as gliosarcomas. Prescription…

The widespread digitization of patient data via electronic health records (EHRs) has created an unprecedented opportunity to use machine learning algorithms to better predict disease risk at the patient level. Although predictive models…

Quick and accurate medical diagnosis is crucial for the successful treatment of a disease. Using machine learning algorithms, we have built two models to predict a hematologic disease, based on laboratory blood test results. In one…

Machine Learning · Statistics 2020-06-09 Gregor Gunčar , Matjaž Kukar , Mateja Notar , Miran Brvar , Peter Černelč , Manca Notar , Marko Notar

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

Cancer is one of the diseases that kill the most women in the world, with breast cancer being responsible for the highest number of cancer cases and consequently deaths. However, it can be prevented by early detection and, consequently,…

Machine Learning · Computer Science 2025-09-23 João Manoel Herrera Pinheiro , Marcelo Becker

We present a novel spectral machine learning (SML) method in screening for pancreatic mass using CT imaging. Our algorithm is trained with approximately 30,000 images from 250 patients (50 patients with normal pancreas and 200 patients with…

Computer Vision and Pattern Recognition · Computer Science 2021-05-04 Yiming Liu , Ying Chen , Guangming Pan , Weichung Wang , Wei-Chih Liao , Yee Liang Thian , Cheng E. Chee , Constantinos P. Anastassiades

Women with an increased life-time risk of breast cancer undergo supplemental annual screening MRI. We propose to predict the risk of developing breast cancer within one year based on the current MRI, with the objective of reducing screening…

Melanoma is the most malignant skin tumor and usually cancerates from normal moles, which is difficult to distinguish benign from malignant in the early stage. Therefore, many machine learning methods are trying to make auxiliary…

Image and Video Processing · Electrical Eng. & Systems 2022-04-22 Jiaqi Xue , Chentian Ma , Li Li , Xuan Wen

Lung cancer, the second leading cause of cancer-related deaths, is primarily linked to long-term tobacco smoking (85% of cases). Surprisingly, 10-15% of cases occur in non-smokers. In 2020, approximately 2 million people were affected…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Imama Ajmi , Abhishek Das

Active surveillance (AS) is a suitable management option for newly-diagnosed prostate cancer (PCa), which usually presents low to intermediate clinical risk. Patients enrolled in AS have their tumor closely monitored via longitudinal…

Type 2 Diabetes is one of the most major and fatal diseases known to human beings, where thousands of people are subjected to the onset of Type 2 Diabetes every year. However, the diagnosis and prevention of Type 2 Diabetes are relatively…

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

Accurate dose calculation is vitally important for proton therapy. Pencil beam (PB) model-based dose calculation is fast but inaccurate due to the approximation when dealing with inhomogeneities. Monte Carlo (MC) dose calculation is the…

Advanced Ovarian Cancer (AOC) is often diagnosed at an advanced stage with peritoneal carcinosis (PC). Fagotti score (FS) assessment at diagnostic laparoscopy (DL) guides treatment planning by estimating surgical resectability, but its…

In oncology, recurrence after treatment is one of the major challenges, related to patients' survival and quality of life. Conventionally, prediction of cancer relapse has always relied on clinical observation with statistical model…

Machine Learning · Computer Science 2025-02-25 Muhammad Umer Qayyum , Muhammad Fahad , Nasrullah Abbasi