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Background: Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human interpretation, computerized analysis of dermoscopy images has…

Computer Vision and Pattern Recognition · Computer Science 2010-11-13 M. Emre Celebi , Hitoshi Iyatomi , Gerald Schaefer , William V. Stoecker

Oral Cavity Squamous Cell Carcinoma (OCSCC) is the most common type of head and neck cancer. Due to the subtle nature of its early stages, deep and hidden areas of development, and slow growth, OCSCC often goes undetected, leading to…

Computer Vision and Pattern Recognition · Computer Science 2025-10-21 Vishal Manikanden , Aniketh Bandlamudi , Daniel Haehn

Colorectal cancer is the third most common tumor in men and the second in women, accounting for 10% of all tumors worldwide. It ranks second in cancer-related deaths with 9.4%, following lung cancer. The decrease in mortality rate…

Other Quantitative Biology · Quantitative Biology 2022-09-27 Panagiotis Katrakazas , Aristotelis Ballas , Marco Anisetti , Ilias Spais

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

Objective: Ultrahigh-resolution optical coherence microscopy (OCM) has recently demonstrated its potential for accurate diagnosis of human cervical diseases. One major challenge for clinical adoption, however, is the steep learning curve…

Computer Vision and Pattern Recognition · Computer Science 2020-04-28 Yutao Ma , Tao Xu , Xiaolei Huang , Xiaofang Wang , Canyu Li , Jason Jerwick , Yuan Ning , Xianxu Zeng , Baojin Wang , Yihong Wang , Zhan Zhang , Xiaoan Zhang , Chao Zhou

Analyzing Pap cytology slides is an important tasks in detecting and grading precancerous and cancerous cervical cancer stages. Processing cytology images usually involve segmenting nuclei and overlapping cells. We introduce a cervical…

Computer Vision and Pattern Recognition · Computer Science 2018-11-27 Hady Ahmady Phoulady , Peter R. Mouton

Early cancer detection remains one of the most critical challenges in modern healthcare, where delayed diagnosis significantly reduces survival outcomes. Recent advancements in artificial intelligence, particularly deep learning, have…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Emmanuella Avwerosuoghene Oghenekaro

Cesarean Scar Defect (CSD) is one of the most prevalent complications following cesarean delivery. Transvaginal ultrasonography is widely used for primary CSD screening. Accurate determination of CSD outline and dimensions is crucial for…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 Yuan Tian , Yue Li , Wei Xia , Tianyu Xu , Jian Zhang , Liye Shi , Jing Liu , Yang Wang , Ming Liu , Qing Xu , Yixuan Zhang , Maggie M. He , Xiangjian He

Breast cancer is one of the most serious disease affecting women's health. Due to low cost, portable, no radiation, and high efficiency, breast ultrasound (BUS) imaging is the most popular approach for diagnosing early breast cancer.…

Computer Vision and Pattern Recognition · Computer Science 2019-10-24 Kuan Huang , Yingtao Zhang , H. D. Cheng , Ping Xing , Boyu Zhang

Invasive ductal carcinoma is a prevalent, potentially deadly disease associated with a high rate of morbidity and mortality. Its malignancy is the second leading cause of death from cancer in women. The mammogram is an extremely useful…

Computer Vision and Pattern Recognition · Computer Science 2021-11-09 Rushabh Patel

Early detection of cancerous tissue is crucial for long-term patient survival. In the head and neck region, a typical diagnostic procedure is an endoscopic intervention where a medical expert manually assesses tissue using RGB camera…

Image and Video Processing · Electrical Eng. & Systems 2020-07-03 Marcel Bengs , Nils Gessert , Wiebke Laffers , Dennis Eggert , Stephan Westermann , Nina A. Mueller , Andreas O. H. Gerstner , Christian Betz , Alexander Schlaefer

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

Colorectal endoscopy is important for the early detection and treatment of colorectal cancer and is used worldwide. A computer-aided diagnosis (CAD) system that provides an objective measure to endoscopists during colorectal endoscopic…

Computer Vision and Pattern Recognition · Computer Science 2016-12-22 Tsubasa Hirakawa , Toru Tamaki , Bisser Raytchev , Kazufumi Kaneda , Tetsushi Koide , Shigeto Yoshida , Hiroshi Mieno , Shinji Tanaka

Segmentation of regions of interest in images of patients, is a crucial step in many medical procedures. Deep neural networks have proven to be particularly adept at this task. However, a key question is what type of deep neural network to…

Image and Video Processing · Electrical Eng. & Systems 2023-03-22 Vangelis Kostoulas , Peter A. N. Bosman , Tanja Alderliesten

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

Breast cancer is one of the most threatening diseases in women's life; thus, the early and accurate diagnosis plays a key role in reducing the risk of death in a patient's life. Mammography stands as the reference technique for breast…

Machine Learning · Computer Science 2023-05-05 Juan Zuluaga-Gomez

Automatic detection of brain neoplasm in Magnetic Resonance Imaging (MRI) is gaining importance in many medical diagnostic applications. This report presents two improvements for brain neoplasm detection in MRI data: an advanced…

Computer Vision and Pattern Recognition · Computer Science 2021-01-26 Nilanjan Sinhababu , Monalisa Sarma , Debasis Samanta

In this paper, we report a hidden Markov model based multiclass classification of cervical cancer tissues. This model has been validated directly over time series generated by the medium refractive index fluctuations extracted from…

Computer Vision and Pattern Recognition · Computer Science 2016-12-06 Sabyasachi Mukhopadhyay , Sanket Nandan , Indrajit Kurmi

Skin cancer is the most common cancer in the existing world constituting one-third of the cancer cases. Benign skin cancers are not fatal, can be cured with proper medication. But it is not the same as the malignant skin cancers. In the…

Image and Video Processing · Electrical Eng. & Systems 2022-12-21 Dusa Sai Charan , Hemanth Nadipineni , Subin Sahayam , Umarani Jayaraman

Cervical Cancer continues to be the leading gynecological malignancy, posing a persistent threat to women's health on a global scale. Early screening via cytology Whole Slide Image (WSI) diagnosis is critical to prevent this Cancer…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Honglin Li , Yusuan Sun , Chenglu Zhu , Yunlong Zhang , Shichuan Zhang , Zhongyi Shui , Pingyi Chen , Jingxiong Li , Sunyi Zheng , Can Cui , Lin Yang
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