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相关论文: Diagnosis and Severity Assessment of Ulcerative Co…

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Ulcerative Colitis (UC) is a chronic inflammatory bowel disease decreasing life quality through symptoms such as bloody diarrhoea and abdominal pain. Endoscopy is a cornerstone of diagnosis and monitoring of UC. The Mayo endoscopic subscore…

图像与视频处理 · 电气工程与系统科学 2024-04-16 Bjørn Leth Møller , Bobby Zhao Sheng Lo , Johan Burisch , Flemming Bendtsen , Ida Vind , Bulat Ibragimov , Christian Igel

Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by relapsing inflammation of the large intestine. The severity of UC is often represented by the Mayo Endoscopic Subscore (MES) which quantifies mucosal disease…

图像与视频处理 · 电气工程与系统科学 2021-10-01 Evan Schwab , Gabriela Oana Cula , Kristopher Standish , Stephen S. F. Yip , Aleksandar Stojmirovic , Louis Ghanem , Christel Chehoud

Ulcerative colitis (UC) is one of the most common forms of inflammatory bowel disease (IBD) characterized by inflammation of the mucosal layer of the colon. Diagnosis of UC is based on clinical symptoms, and then confirmed based on…

定量方法 · 定量生物学 2020-08-05 Hanieh Marvi Khorasani , Hamid Usefi , Lourdes Peña-Castillo

Ulcerative colitis (UC) is a chronic mucosal inflammatory condition that places patients at increased risk of colorectal cancer. Colonoscopic surveillance remains the gold standard for assessing disease activity, and reporting typically…

Ulcerative colitis (UC) classification, which is an important task for endoscopic diagnosis, involves two main difficulties. First, endoscopic images with the annotation about UC (positive or negative) are usually limited. Second, they show…

图像与视频处理 · 电气工程与系统科学 2023-03-03 Shota Harada , Ryoma Bise , Hideaki Hayashi , Kiyohito Tanaka , Seiichi Uchida

Endoscopic imaging is commonly used to diagnose Ulcerative Colitis (UC) and classify its severity. It has been shown that deep learning based methods are effective in automated analysis of these images and can potentially be used to aid…

图像与视频处理 · 电气工程与系统科学 2023-11-13 Ümit Mert Çağlar , Alperen İnci , Oğuz Hanoğlu , Görkem Polat , Alptekin Temizel

Patient-level diagnosis of severity in ulcerative colitis (UC) is common in real clinical settings, where the most severe score in a patient is recorded. However, previous UC classification methods (i.e., image-level estimation) mainly…

计算机视觉与模式识别 · 计算机科学 2024-11-25 Kaito Shiku , Kazuya Nishimura , Daiki Suehiro , Kiyohito Tanaka , Ryoma Bise

Accurate assessment of disease severity from endoscopy videos in ulcerative colitis (UC) is crucial for evaluating drug efficacy in clinical trials. Severity is often measured by the Mayo Endoscopic Subscore (MES) and Ulcerative Colitis…

BACKGROUND & AIMS: Histological remission (HR) is advocated and considered as a new therapeutic target in ulcerative colitis (UC). Diagnosis of histologic remission currently relies on biopsy; during this process, patients are at risk for…

计算机视觉与模式识别 · 计算机科学 2023-08-29 Yemin li , Zhongcheng Liu , Xiaoying Lou , Mirigual Kurban , Miao Li , Jie Yang , Kaiwei Che , Jiankun Wang , Max Q. -H Meng , Yan Huang , Qin Guo , Pinjin Hu

Estimating disease severity from endoscopic images is essential in assessing ulcerative colitis, where the Mayo Endoscopic Subscore (MES) is widely used to grade inflammation. However, MES classification remains challenging due to label…

计算机视觉与模式识别 · 计算机科学 2025-08-20 Zeynep Ozdemir , Hacer Yalim Keles , Omer Ozgur Tanriover

We present a lesion-aware image captioning framework for ulcerative colitis (UC). The model integrates ResNet embeddings, Grad-CAM heatmaps, and CBAM-enhanced attention with a T5 decoder. Clinical metadata (MES score 0-3, vascular pattern,…

计算机视觉与模式识别 · 计算机科学 2025-09-04 Alexis Ivan Lopez Escamilla , Gilberto Ochoa , Sharib Al

The development of methods to estimate the severity of Ulcerative Colitis (UC) is of significant importance. However, these methods often suffer from domain shifts caused by differences in imaging devices and clinical settings across…

计算机视觉与模式识别 · 计算机科学 2025-09-19 Takamasa Yamaguchi , Brian Kenji Iwana , Ryoma Bise , Shota Harada , Takumi Okuo , Kiyohito Tanaka , Kaito Shiku

Automatic image-based severity estimation is an important task in computer-aided diagnosis. Severity estimation by deep learning requires a large amount of training data to achieve a high performance. In general, severity estimation uses…

计算机视觉与模式识别 · 计算机科学 2024-09-11 Takeaki Kadota , Hideaki Hayashi , Ryoma Bise , Kiyohito Tanaka , Seiichi Uchida

Gastrointestinal diseases pose significant healthcare chall-enges as they manifest in diverse ways and can lead to potential complications. Ensuring precise and timely classification of these diseases is pivotal in guiding treatment choices…

计算机视觉与模式识别 · 计算机科学 2023-07-18 Dibya Nath , G. M. Shahariar

Foot ulcer is a common complication of diabetes mellitus and, associated with substantial morbidity and mortality, remains a major risk factor for lower leg amputations. Extracting accurate morphological features from foot wounds is crucial…

图像与视频处理 · 电气工程与系统科学 2022-06-20 Amirreza Mahbod , Gerald Schaefer , Rupert Ecker , Isabella Ellinger

Crohn's Disease (CD) and Ulcerative Colitis (UC) are the two main Inflammatory Bowel Disease (IBD) types. We developed deep learning models to identify histological disease features for both CD and UC using only endoscopic labels. We…

Histologic assessment of ulcerative colitis (UC) activity is an important endpoint in clinical trials and routine care, but manual grading with indices such as the Nancy histological index (NHI) is time-consuming and prone to observer…

计算机视觉与模式识别 · 计算机科学 2026-04-28 Adam Kukučka , Ondřej Fabián , Vít Musil , Tomáš Brázdil

Inflammatory bowel disease (IBD), in particular ulcerative colitis (UC), is graded by endoscopists and this assessment is the basis for risk stratification and therapy monitoring. Presently, endoscopic characterisation is largely operator…

计算机视觉与模式识别 · 计算机科学 2022-07-13 Ziang Xu , Sharib Ali , Soumya Gupta , Simon Leedham , James E East , Jens Rittscher

Data-driven methods have shown tremendous progress in medical image analysis. In this context, deep learning-based supervised methods are widely popular. However, they require a large amount of training data and face issues in…

计算机视觉与模式识别 · 计算机科学 2023-06-02 Ziang Xu , Jens Rittscher , Sharib Ali

Gastrointestinal mucosal changes can cause cancers after some years and early diagnosing them can be very useful to prevent cancers and early treatment. In this article, 8 classes of mucosal changes and anatomical landmarks including…

图像与视频处理 · 电气工程与系统科学 2023-08-01 Mohammadhasan Goharian , Vahid Goharian , Hamidreza Bolhasani
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