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Endoscopic endonasal surgery is a minimal invasive surgery that has been used to dissect pituitary gland tumour via curettes with the help of endoscope. However, this type of surgery has a high risk of failure because curettes may cause…

We present a computer-aided detection algorithm for polyps in optical colonoscopy images. Polyps are the precursors to colon cancer. In the US alone, more than 14 million optical colonoscopies are performed every year, mostly to screen for…

计算机视觉与模式识别 · 计算机科学 2016-09-13 Saad Nadeem , Arie Kaufman

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…

计算机视觉与模式识别 · 计算机科学 2016-12-22 Tsubasa Hirakawa , Toru Tamaki , Bisser Raytchev , Kazufumi Kaneda , Tetsushi Koide , Shigeto Yoshida , Hiroshi Mieno , Shinji Tanaka

For many real-world applications involving low-power sensor edge devices deep neural networks used for image classification might not be suitable. This is due to their typically large model size and require- ment of operations often…

图像与视频处理 · 电气工程与系统科学 2026-01-21 Oliver Bause , Julia Werner , Paul Palomero Bernardo , Oliver Bringmann

Colorectal cancer is among the most common malignancies and can develop from high-risk colon polyps. Colonoscopy is an effective screening tool to detect and remove polyps, especially in the case of precancerous lesions. However, the…

图像与视频处理 · 电气工程与系统科学 2022-03-02 Dinh Viet Sang , Tran Quang Chung , Phan Ngoc Lan , Dao Viet Hang , Dao Van Long , Nguyen Thi Thuy

AI-assisted colonoscopy has received lots of attention in the last decade. Several randomised clinical trials in the previous two years showed exciting results of the improving detection rate of polyps. However, current commercial…

人机交互 · 计算机科学 2022-08-05 Hsiang-Ting Chen , Yuan Zhang , Gustavo Carneiro , Seon Ho Shin , Rajvinder Singh

In the recent years, artificial intelligence (AI) and its leading subtypes, machine learning (ML) and deep learning (DL) and their applications are spreading very fast in various aspects such as medicine. Today the most important challenge…

This paper proposes a smart handheld textural sensing medical device with complementary Machine Learning (ML) algorithms to enable on-site Colorectal Cancer (CRC) polyp diagnosis and pathology of excised tumors. The proposed unique handheld…

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…

计算机视觉与模式识别 · 计算机科学 2026-01-15 Akwasi Asare , Thanh-Huy Nguyen , Ulas Bagci

To cope with the growing prevalence of colorectal cancer (CRC), screening programs for polyp detection and removal have proven their usefulness. Colonoscopy is considered the best-performing procedure for CRC screening. To ease the…

图像与视频处理 · 电气工程与系统科学 2024-01-25 Mathias Ramm Haugland , Hemin Ali Qadir , Ilangko Balasingham

The following research undertakes a historical review of this technology with specific highlighting of its advancement in medical diagnostics as well as the therapeutic functionality of wireless capsule endoscopy. Without restriction to the…

计算机视觉与模式识别 · 计算机科学 2018-09-13 Thomas Kruezer

Digital pathology is revolutionizing the field of pathology by enabling the digitization, storage, and analysis of tissue samples as whole slide images (WSIs). WSIs are gigapixel files that capture the intricate details of tissue samples,…

图像与视频处理 · 电气工程与系统科学 2024-09-10 S. Hemati , Krishna R. Kalari , H. R. Tizhoosh

Cancer is a disease that occurs as a result of the uncontrolled division and proliferation of cells. Colon cancer is one of the most common types of cancer in the world. Polyps that can be seen in the large intestine can cause cancer if not…

图像与视频处理 · 电气工程与系统科学 2022-04-25 Tugberk Erol , Duygu Sarikaya

Due to its non-invasive and painless characteristics, wireless capsule endoscopy has become the new gold standard for assessing gastrointestinal disorders. Omissions, however, could occur throughout the examination since controlling capsule…

机器人学 · 计算机科学 2023-05-19 Yameng Zhang , Long Bai , Li Liu , Hongliang Ren , Max Q. -H. Meng

In recent years, simultaneous magnetic actuation and localization (SMAL) for active wireless capsule endoscopy (WCE) has been intensively studied to improve the efficiency and accuracy of the examination. In this paper, we propose an…

机器人学 · 计算机科学 2021-11-04 Yangxin Xu , Keyu Li , Ziqi Zhao , Max Q. -H. Meng

Differentiation of colorectal polyps is an important clinical examination. A computer-aided diagnosis system is required to assist accurate diagnosis from colonoscopy images. Most previous studies at-tempt to develop models for polyp…

计算机视觉与模式识别 · 计算机科学 2021-08-06 Qin Wang , Hui Che , Weizhen Ding , Li Xiang , Guanbin Li , Zhen Li , Shuguang Cui

Colorectal polyps are important precursors to colon cancer, the third most common cause of cancer mortality for both men and women. It is a disease where early detection is of crucial importance. Colonoscopy is commonly used for early…

计算机视觉与模式识别 · 计算机科学 2019-11-25 Ahmed Mohammed , Sule Yildirim , Ivar Farup , Marius Pedersen , Øistein Hovde

Temporal activity localization in long videos is an important problem. The cost of obtaining frame level label for long Wireless Capsule Endoscopy (WCE) videos is prohibitive. In this paper, we propose an end-to-end temporal abnormality…

计算机视觉与模式识别 · 计算机科学 2021-10-19 Sodiq Adewole , Philip Fernandes , James Jablonski , Andrew Copland , Michael Porter , Sana Syed , Donald Brown

Colorectal cancer is one of fatal cancer worldwide. Colonoscopy is the standard treatment for examination, localization, and removal of colorectal polyps. However, it has been shown that the miss-rate of colorectal polyps during colonoscopy…

图像与视频处理 · 电气工程与系统科学 2021-01-12 Nikhil Kumar Tomar

In this study, we explore the application of deep learning techniques for predicting cleansing quality in colon capsule endoscopy (CCE) images. Using a dataset of 500 images labeled by 14 clinicians on the Leighton-Rex scale (Poor, Fair,…

计算机视觉与模式识别 · 计算机科学 2026-01-21 Puneet Sharma , Kristian Dalsbø Hindberg , Benedicte Schelde-Olesen , Ulrik Deding , Esmaeil S. Nadimi , Jan-Matthias Braun