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While skin cancer is the most diagnosed form of cancer in men and women, with more cases diagnosed each year than all other cancers combined, sufficiently early diagnosis results in very good prognosis and as such makes early detection…

Computer Vision and Pattern Recognition · Computer Science 2017-09-26 Mohammad Javad Shafiee , Alexander Wong

Radiomics has proven to be a powerful prognostic tool for cancer detection, and has previously been applied in lung, breast, prostate, and head-and-neck cancer studies with great success. However, these radiomics-driven methods rely on…

Computer Vision and Pattern Recognition · Computer Science 2015-11-12 Mohammad Javad Shafiee , Audrey G. Chung , Devinder Kumar , Farzad Khalvati , Masoom Haider , Alexander Wong

While lung cancer is the second most diagnosed form of cancer in men and women, a sufficiently early diagnosis can be pivotal in patient survival rates. Imaging-based, or radiomics-driven, detection methods have been developed to aid…

Neural and Evolutionary Computing · Computer Science 2017-10-23 Mohammad Javad Shafiee , Audrey G. Chung , Farzad Khalvati , Masoom A. Haider , Alexander Wong

Lung cancer is the leading cause for cancer related deaths. As such, there is an urgent need for a streamlined process that can allow radiologists to provide diagnosis with greater efficiency and accuracy. A powerful tool to do this is…

Computer Vision and Pattern Recognition · Computer Science 2017-03-29 Devinder Kumar , Mohammad Javad Shafiee , Audrey G. Chung , Farzad Khalvati , Masoom A. Haider , Alexander Wong

Quantitative extraction of high-dimensional mineable data from medical images is a process known as radiomics. Radiomics is foreseen as an essential prognostic tool for cancer risk assessment and the quantification of intratumoural…

In patients with biochemical recurrence of prostate cancer and negative PSMA PET/CT, radiomics features extracted from recurrence-prone organs can predict clinical progression and progression-free survival. In a cohort of 132 patients,…

Recent advancements in signal processing and machine learning coupled with developments of electronic medical record keeping in hospitals and the availability of extensive set of medical images through internal/external communication…

Computer Vision and Pattern Recognition · Computer Science 2019-07-24 Parnian Afshar , Arash Mohammadi , Konstantinos N. Plataniotis , Anastasia Oikonomou , Habib Benali

Breast cancer is the most prevalent cancer among women and predicting pathologic complete response (pCR) after anti-cancer treatment is crucial for patient prognosis and treatment customization. Deep learning has shown promise in medical…

Image and Video Processing · Electrical Eng. & Systems 2024-10-02 Jonghun Kim , Hyunjin Park

In this study we assessed the repeatability of the values of radiomics features for small prostate tumors using test-retest Multiparametric Magnetic Resonance Imaging (mpMRI) images. The premise of radiomics is that quantitative image…

Computer Vision and Pattern Recognition · Computer Science 2018-11-16 Michael Schwier , Joost van Griethuysen , Mark G Vangel , Steve Pieper , Sharon Peled , Clare M Tempany , Hugo JWL Aerts , Ron Kikinis , Fiona M Fennessy , Andrey Fedorov

Objective: To develop and evaluate a deep radiomics model for clinically significant prostate cancer (csPCa, grade group >= 2) detection and compare its performance to Prostate Imaging Reporting and Data System (PI-RADS) assessment in a…

Image and Video Processing · Electrical Eng. & Systems 2024-10-22 G. A. Nketiah , M. R. Sunoqrot , E. Sandsmark , S. Langørgen , K. M. Selnæs , H. Bertilsson , M. Elschot , T. F. Bathen

Prostate cancer is the most dangerous cancer diagnosed in men worldwide. Prostate diagnosis has been affected by many factors, such as lesion complexity, observer visibility, and variability. Many techniques based on Magnetic Resonance…

Image and Video Processing · Electrical Eng. & Systems 2022-08-02 Hussein Hashem , Yasmin Alsakar , Ahmed Elgarayhi , Mohammed Elmogy , Mohammed Sallah

Objective: Lung cancer is the leading cause of cancer-related death worldwide. Computer-aided diagnosis (CAD) systems have shown significant promise in recent years for facilitating the effective detection and classification of abnormal…

Computer Vision and Pattern Recognition · Computer Science 2019-01-16 Vignesh Sankar , Devinder Kumar , David A. Clausi , Graham W. Taylor , Alexander Wong

With a high rate of morbidity and mortality, colorectal cancer (CRC) ranks third in mortality among cancers. By analyzing the texture properties of images and quantifying the heterogeneity of tumors, radiomics and radiogenomics are…

Medical Physics · Physics 2024-06-25 Parsa Karami , Reza Elahi

In high-quality radiotherapy delivery, precise segmentation of targets and healthy structures is essential. This study proposes Radiomics features as a superior measure for assessing the segmentation ability of physicians and…

Image and Video Processing · Electrical Eng. & Systems 2023-11-01 Yoichi Watanabe , Rukhsora Akramova

Outcome prediction is crucial for head and neck cancer patients as it can provide prognostic information for early treatment planning. Radiomics methods have been widely used for outcome prediction from medical images. However, these…

Image and Video Processing · Electrical Eng. & Systems 2023-03-21 Mingyuan Meng , Lei Bi , Dagan Feng , Jinman Kim

Current imaging methods for diagnosing BC are associated with limited sensitivity and specificity and modest positive predictive power. The recent progress in image analysis using artificial intelligence (AI) has created great promise to…

Image and Video Processing · Electrical Eng. & Systems 2024-06-24 Reza Elahi , Mahdis Nazari

Accurate interpretation of knee MRI scans relies on expert clinical judgment, often with high variability and limited scalability. Existing radiomic approaches use a fixed set of radiomic features (the signature), selected at the population…

Computer Vision and Pattern Recognition · Computer Science 2025-06-26 Yaxi Chen , Simin Ni , Shaheer U. Saeed , Aleksandra Ivanova , Rikin Hargunani , Jie Huang , Chaozong Liu , Yipeng Hu

Prostate cancer (PCa) is the most frequently diagnosed malignancy in men and the eighth leading cause of cancer death worldwide. Multiparametric MRI (mpMRI) has become central to the diagnostic pathway for men at intermediate risk,…

Prostate cancer is one of the most common causes of cancer deaths in men. There is a growing demand for noninvasively and accurately diagnostic methods that facilitate the current standard prostate cancer risk assessment in clinical…

Image and Video Processing · Electrical Eng. & Systems 2021-12-30 Ping-Chang Lin , Teodora Szasz , Hakizumwami B. Runesha

In the United States, prostate cancer is the second leading cause of deaths in males with a predicted 35,250 deaths in 2024. However, most diagnoses are non-lethal and deemed clinically insignificant which means that the patient will likely…

Machine Learning · Computer Science 2024-11-08 Benjamin Ng , Chi-en Amy Tai , E. Zhixuan Zeng , Alexander Wong
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