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We address the problem of supporting radiologists in the longitudinal management of lung cancer. Therefore, we proposed a deep learning pipeline, composed of four stages that completely automatized from the detection of nodules to the…

Image and Video Processing · Electrical Eng. & Systems 2021-03-29 Xavier Rafael-Palou , Anton Aubanell , Mario Ceresa , Vicent Ribas , Gemma Piella , Miguel A. González Ballester

Lung cancer (LC) ranks among the most frequently diagnosed cancers and is one of the most common causes of death for men and women worldwide. Computed Tomography (CT) images are the most preferred diagnosis method because of their low cost…

Image and Video Processing · Electrical Eng. & Systems 2025-08-11 Mobarak Abumohsen , Enrique Costa-Montenegro , Silvia García-Méndez , Amani Yousef Owda , Majdi Owda

Machine learning (ML) has seen enormous consideration during the most recent decade. This success started in 2012 when an ML model accomplished a remarkable triumph in the ImageNet Classification, the world's most famous competition for…

Image and Video Processing · Electrical Eng. & Systems 2022-02-18 Imran Ul Haq

Images remain the largest data source in the field of healthcare. But at the same time, they are the most difficult to analyze. More than often, these images are analyzed by human experts such as pathologists and physicians. But due to…

Image and Video Processing · Electrical Eng. & Systems 2021-10-11 Dikshant Sagar

Using histopathological images to automatically classify cancer is a difficult task for accurately detecting cancer, especially to identify metastatic cancer in small image patches obtained from larger digital pathology scans. Computer…

Image and Video Processing · Electrical Eng. & Systems 2020-11-16 Guanwen Qiu , Xiaobing Yu , Baolin Sun , Yunpeng Wang , Lipei Zhang

Deep neural networks are starting to show their worth in critical applications such as assisted cancer diagnosis. However, for their outputs to get accepted in practice, the results they provide should be explainable in a way easily…

Computer Vision and Pattern Recognition · Computer Science 2025-12-22 Martin Krebs , Jan Obdržálek , Vít Musil , Tomáš Brázdil

Acute Lymphoblastic Leukemia (ALL) is one of the most common types of childhood blood cancer. The quick start of the treatment process is critical to saving the patient's life, and for this reason, early diagnosis of this disease is…

Computer Vision and Pattern Recognition · Computer Science 2025-03-07 Amirhossein Askari Farsangi , Ali Sharifi-Zarchi , Mohammad Hossein Rohban

Breast cancer is one of the deadliest cancers causing about massive number of patients to die annually all over the world according to the WHO. It is a kind of cancer that develops when the tissues of the breast grow rapidly and unboundly.…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Mst. Mumtahina Labonno , D. M. Asadujjaman , Md. Mahfujur Rahman , Abdullah Tamim , Mst. Jannatul Ferdous , Rafi Muttaki Mahi

Prostate cancer is the most common cancer in men worldwide and the second leading cause of cancer death in the United States. One of the prognostic features in prostate cancer is the Gleason grading of histopathology images. The Gleason…

Image and Video Processing · Electrical Eng. & Systems 2022-12-27 Mohammad Mahdi Behzadi , Mohammad Madani , Hanzhang Wang , Jun Bai , Ankit Bhardwaj , Anna Tarakanova , Harold Yamase , Ga Hie Nam , Sheida Nabavi

The Prostate Imaging Reporting and Data System (PI-RADS) is pivotal in the diagnosis of clinically significant prostate cancer through MRI imaging. Current deep learning-based PI-RADS scoring methods often lack the incorporation of common…

Computer Vision and Pattern Recognition · Computer Science 2024-07-11 Tiantian Zhang , Manxi Lin , Hongda Guo , Xiaofan Zhang , Ka Fung Peter Chiu , Aasa Feragen , Qi Dou

Clear cell renal cell carcinoma (ccRCC) is one of the most common forms of intratumoral heterogeneity in the study of renal cancer. ccRCC originates from the epithelial lining of proximal convoluted renal tubules. These cells undergo…

Image and Video Processing · Electrical Eng. & Systems 2021-07-02 Shiba Kuanar , Vassilis Athitsos , Dwarikanath Mahapatra , Anand Rajan

Artificial intelligence systems show promise to aid in the di- agnostic pathway of prostate cancer (PC), by supporting radiologists in interpreting magnetic resonance images (MRI) of the prostate. Most MRI-based systems are designed to…

Image and Video Processing · Electrical Eng. & Systems 2025-02-18 Erlend Sortland Rolfsnes , Philip Thangngat , Trygve Eftestøl , Tobias Nordström , Fredrik Jäderling , Martin Eklund , Alvaro Fernandez-Quilez

One of the distinct characteristics in radiologists' reading of multiparametric prostate MR scans, using reporting systems such as PI-RADS v2.1, is to score individual types of MR modalities, T2-weighted, diffusion-weighted, and dynamic…

Image and Video Processing · Electrical Eng. & Systems 2024-01-23 Wen Yan , Bernard Chiu , Ziyi Shen , Qianye Yang , Tom Syer , Zhe Min , Shonit Punwani , Mark Emberton , David Atkinson , Dean C. Barratt , Yipeng Hu

Melanoma is a type of cancer that begins in the cells controlling the pigment of the skin, and it is often referred to as the most dangerous skin cancer. Diagnosing melanoma can be time-consuming, and a recent increase in melanoma incidents…

Image and Video Processing · Electrical Eng. & Systems 2023-12-15 Marie Bø-Sande , Edvin Benjaminsen , Neel Kanwal , Saul Fuster , Helga Hardardottir , Ingrid Lundal , Emiel A. M. Janssen , Kjersti Engan

Segmentation of focal (localized) brain pathologies such as brain tumors and brain lesions caused by multiple sclerosis and ischemic strokes are necessary for medical diagnosis, surgical planning and disease development as well as other…

Computer Vision and Pattern Recognition · Computer Science 2017-01-25 Mohammad Havaei , Nicolas Guizard , Hugo Larochelle , Pierre-Marc Jodoin

In order to optimize the radiotherapy delivery for cancer treatment, especially when dealing with complex treatments such as Total Marrow and Lymph Node Irradiation (TMLI), the accurate contouring of the Planning Target Volume (PTV) is…

Computer Vision and Pattern Recognition · Computer Science 2024-02-12 Ricardo Coimbra Brioso , Damiano Dei , Nicola Lambri , Daniele Loiacono , Pietro Mancosu , Marta Scorsetti

In recent years, Deep Learning (DL) has shown promising results in conducting AI tasks such as computer vision and image segmentation. Specifically, Convolutional Neural Network (CNN) models in DL have been applied to prevention,detection,…

Image and Video Processing · Electrical Eng. & Systems 2019-11-19 Ahmed Awad Albishri , Syed Jawad Hussain Shah , Anthony Schmiedler , Seung Suk Kang , Yugyung Lee

Lymph node (LN) metastasis status is one of the most critical prognostic and cancer staging factors for patients with resectable pancreatic ductal adenocarcinoma (PDAC), or in general, for any types of solid malignant tumors. Preoperative…

Image and Video Processing · Electrical Eng. & Systems 2023-01-05 Zhilin Zheng , Xu Fang , Jiawen Yao , Mengmeng Zhu , Le Lu , Lingyun Huang , Jing Xiao , Yu Shi , Hong Lu , Jianping Lu , Ling Zhang , Chengwei Shao , Yun Bian

Radiologists often mix medical image reading strategies, including inspection of individual modalities and local image regions, using information at different locations from different images independently as well as concurrently. In this…

Computer Vision and Pattern Recognition · Computer Science 2026-01-09 Xiangcen Wu , Shaheer U. Saeed , Yipei Wang , Ester Bonmati Coll , Yipeng Hu

Melanoma is a sort of skin cancer that starts in the cells known as melanocytes. It is more dangerous than other types of skin cancer because it can spread to other organs. Melanoma can be fatal if it spreads to other parts of the body.…

Image and Video Processing · Electrical Eng. & Systems 2023-12-05 Md. Fahim Uddin , Nafisa Tafshir , Mohammad Monirujjaman Khan