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Colorectal cancer (CRC), a lethal disease, begins with the growth of abnormal mucosal cell proliferation called polyps in the inner wall of the colon. When left undetected, polyps can become malignant tumors. Colonoscopy is the standard…

Computer Vision and Pattern Recognition · Computer Science 2025-09-24 Siddharth Gupta , Jitin Singla

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

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

Lung and colon cancer are serious worldwide health challenges that require early and precise identification to reduce mortality risks. However, diagnosis, which is mostly dependent on histopathologists' competence, presents difficulties and…

Image and Video Processing · Electrical Eng. & Systems 2024-05-15 Mukaffi Bin Moin , Fatema Tuj Johora Faria , Swarnajit Saha , Busra Kamal Rafa , Mohammad Shafiul Alam

Early screening for cancer has proven to improve the survival rate and spare patients from intensive and costly treatments due to late diagnosis. Cancer screening in the healthy population involves an initial risk stratification step to…

Colorectal cancer (CRC) remains one of the leading causes of cancer-related morbidity and mortality worldwide, with gastrointestinal (GI) polyps serving as critical precursors according to the World Health Organization (WHO). Early and…

Computer Vision and Pattern Recognition · Computer Science 2026-01-15 Akwasi Asare , Thanh-Huy Nguyen , Ulas Bagci

Medical imaging is an essential tool in many areas of medical applications, used for both diagnosis and treatment. However, reading medical images and making diagnosis or treatment recommendations require specially trained medical…

Computer Vision and Pattern Recognition · Computer Science 2019-03-13 Wentao Zhu

Automatic segmentation of liver and its tumors is an essential step for extracting quantitative imaging biomarkers for accurate tumor detection, diagnosis, prognosis and assessment of tumor response to treatment. MICCAI 2017 Liver Tumor…

Computer Vision and Pattern Recognition · Computer Science 2017-10-13 Yading Yuan

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

Colorectal and prostate cancers are the most common types of cancer in men worldwide. To diagnose colorectal and prostate cancer, a pathologist performs a histological analysis on needle biopsy samples. This manual process is time-consuming…

Image and Video Processing · Electrical Eng. & Systems 2023-01-31 Remy Peyret , Duaa alSaeed , Fouad Khelifi , Nadia Al-Ghreimil , Heyam Al-Baity , Ahmed Bouridane

Cervical cancer is a prevalent disease affecting millions of women worldwide every year. It requires significant attention, as early detection during the precancerous stage provides an opportunity for a cure. The screening and diagnosis of…

Image and Video Processing · Electrical Eng. & Systems 2023-10-26 Hana Ahmadzadeh Sarhangi , Dorsa Beigifard , Elahe Farmani , Hamidreza Bolhasani

It is increasingly common clinically for cancer specimens to be examined using techniques that identify somatic mutations. In principle these mutational profiles can be used to diagnose the tissue of origin, a critical task for the 3-5% of…

Methodology · Statistics 2020-07-14 Saptarshi Chakraborty , Colin B. Begg , Ronglai Shen

Liver tumor segmentation and classification are important tasks in computer aided diagnosis. We aim to address three problems: liver tumor screening and preliminary diagnosis in non-contrast computed tomography (CT), and differential…

Image and Video Processing · Electrical Eng. & Systems 2023-10-24 Ke Yan , Xiaoli Yin , Yingda Xia , Fakai Wang , Shu Wang , Yuan Gao , Jiawen Yao , Chunli Li , Xiaoyu Bai , Jingren Zhou , Ling Zhang , Le Lu , Yu Shi

Digitization of histopathology slides has led to several advances, from easy data sharing and collaborations to the development of digital diagnostic tools. Deep learning (DL) methods for classification and detection have shown great…

Image and Video Processing · Electrical Eng. & Systems 2020-05-25 Apostolia Tsirikoglou , Karin Stacke , Gabriel Eilertsen , Martin Lindvall , Jonas Unger

Lung cancer is the leading cause of cancer deaths. Early detection through low-dose computed tomography (CT) screening has been shown to significantly reduce mortality but suffers from a high false positive rate that leads to unnecessary…

Image and Video Processing · Electrical Eng. & Systems 2019-06-04 Jason L. Causey , Yuanfang Guan , Wei Dong , Karl Walker , Jake A. Qualls , Fred Prior , Xiuzhen Huang

Primary tumors have a high likelihood of developing metastases in the liver and early detection of these metastases is crucial for patient outcome. We propose a method based on convolutional neural networks (CNN) to detect liver metastases.…

Image and Video Processing · Electrical Eng. & Systems 2019-10-16 Mariëlle J. A. Jansen , Hugo J. Kuijf , Maarten Niekel , Wouter B. Veldhuis , Frank J. Wessels , Max A. Viergever , Josien P. W. Pluim

Colorectal cancer is the fourth leading cause of cancer deaths worldwide and the second leading cause in the United States. The risk of colorectal cancer can be mitigated by the identification and removal of premalignant lesions through…

Computer Vision and Pattern Recognition · Computer Science 2017-11-29 Faisal Mahmood , Nicholas J. Durr

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

Segmentation of histopathology sections is an ubiquitous requirement in digital pathology and due to the large variability of biological tissue, machine learning techniques have shown superior performance over standard image processing…

Computer Vision and Pattern Recognition · Computer Science 2017-10-11 Philipp Kainz , Michael Pfeiffer , Martin Urschler

Colonoscopy screening effectively identifies and removes polyps before they progress to colorectal cancer (CRC), but current follow-up guidelines rely primarily on histopathological features, overlooking other important CRC risk factors.…

Computer Vision and Pattern Recognition · Computer Science 2025-04-15 Shuai Jiang , Christina Robinson , Joseph Anderson , William Hisey , Lynn Butterly , Arief Suriawinata , Saeed Hassanpour