English
Related papers

Related papers: LLCaps: Learning to Illuminate Low-Light Capsule E…

200 papers

Diffusion-weighted (DW) magnetic resonance imaging is essential for the diagnosis and treatment of ischemic stroke. DW images (DWIs) are usually acquired in multi-slice settings where lesion areas in two consecutive 2D slices are highly…

Image and Video Processing · Electrical Eng. & Systems 2023-05-31 Yanglan Ou , Ye Yuan , Xiaolei Huang , Kelvin Wong , John Volpi , James Z. Wang , Stephen T. C. Wong

Endoscopy serves as an essential procedure for evaluating the gastrointestinal (GI) tract and plays a pivotal role in identifying GI-related disorders. Recent advancements in deep learning have demonstrated substantial progress in detecting…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Astitva Kamble , Vani Bandodkar , Saakshi Dharmadhikary , Veena Anand , Pradyut Kumar Sanki , Mei X. Wu , Biswabandhu Jana

Low-light image enhancement (LLIE) is a pervasive yet challenging problem, since: 1) low-light measurements may vary due to different imaging conditions in practice; 2) images can be enlightened subjectively according to diverse preferences…

Computer Vision and Pattern Recognition · Computer Science 2021-07-14 Rongkai Zhang , Lanqing Guo , Siyu Huang , Bihan Wen

Counterfactual explanations (CEs) aim to enhance the interpretability of machine learning models by illustrating how alterations in input features would affect the resulting predictions. Common CE approaches require an additional model and…

Computer Vision and Pattern Recognition · Computer Science 2024-10-02 Matan Atad , David Schinz , Hendrik Moeller , Robert Graf , Benedikt Wiestler , Daniel Rueckert , Nassir Navab , Jan S. Kirschke , Matthias Keicher

Confocal laser endomicroscopy (CLE) is an advanced optical fluorescence imaging technology that has the potential to increase intraoperative precision, extend resection, and tailor surgery for malignant invasive brain tumors because of its…

Computer Vision and Pattern Recognition · Computer Science 2018-08-21 Mohammadhassan Izadyyazdanabadi , Evgenii Belykh , Michael Mooney , Jennifer Eschbacher , Peter Nakaji , Yezhou Yang , Mark C. Preul

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…

Computer Vision and Pattern Recognition · Computer Science 2025-08-20 Zeynep Ozdemir , Hacer Yalim Keles , Omer Ozgur Tanriover

Accurate 3D modeling of human organs is critical for constructing digital phantoms in virtual imaging trials. However, organs such as the large intestine remain particularly challenging due to their complex geometry and shape variability.…

Computer Vision and Pattern Recognition · Computer Science 2025-10-16 Kaouther Mouheb , Mobina Ghojogh Nejad , Lavsen Dahal , Ehsan Samei , Kyle J. Lafata , W. Paul Segars , Joseph Y. Lo

Existing methods for restoring degraded human-centric images often struggle with insufficient fidelity, particularly in human body restoration (HBR). Recent diffusion-based restoration methods commonly adapt pre-trained text-to-image…

Computer Vision and Pattern Recognition · Computer Science 2026-02-05 Jue Gong , Zihan Zhou , Jingkai Wang , Shu Li , Libo Liu , Jianliang Lan , Yulun Zhang

Gastrointestinal endoscopy is a medical procedure that utilizes a flexible tube equipped with a camera and other instruments to examine the digestive tract. This minimally invasive technique allows for diagnosing and managing various…

Computer Vision and Pattern Recognition · Computer Science 2023-07-13 Pham Vu Hung , Nguyen Duy Manh , Nguyen Thi Oanh , Nguyen Thi Thuy , Dinh Viet Sang

Sparse-view computed tomography (CT) reconstruction is fundamentally challenging due to undersampling, leading to an ill-posed inverse problem. Traditional iterative methods incorporate handcrafted or learned priors to regularize the…

Computer Vision and Pattern Recognition · Computer Science 2026-04-16 Leon Suarez-Rodriguez , Roman Jacome , Romario Gualdron-Hurtado , Ana Mantilla-Dulcey , Henry Arguello

Squamous Cell Carcinoma (SCC) is the most common cancer type of the epithelium and is often detected at a late stage. Besides invasive diagnosis of SCC by means of biopsy and histo-pathologic assessment, Confocal Laser Endomicroscopy (CLE)…

Computer Vision and Pattern Recognition · Computer Science 2020-01-06 Marc Aubreville , Miguel Goncalves , Christian Knipfer , Nicolai Oetter , Helmut Neumann , Florian Stelzle , Christopher Bohr , Andreas Maier

Low light conditions not only degrade human visual experience, but also reduce the performance of downstream machine analytics. Although many works have been designed for low-light enhancement or domain adaptive machine analytics, the…

Computer Vision and Pattern Recognition · Computer Science 2022-10-11 Wenjing Wang , Zhengbo Xu , Haofeng Huang , Jiaying Liu

Low-Light Image Enhancement (LLIE) is crucial for improving both human perception and computer vision tasks. This paper addresses two challenges in zero-reference LLIE: obtaining perceptually 'good' images using the Contrastive…

Computer Vision and Pattern Recognition · Computer Science 2025-07-09 Yuka Ogino , Takahiro Toizumi , Atsushi Ito

Endoscopy is a widely used imaging modality to diagnose and treat diseases in hollow organs as for example the gastrointestinal tract, the kidney and the liver. However, due to varied modalities and use of different imaging protocols at…

Computer Vision and Pattern Recognition · Computer Science 2020-03-30 Sharib Ali , Binod Bhattarai , Tae-Kyun Kim , Jens Rittscher

In the gastrointestinal (GI) tract endoscopy field, ingestible wireless capsule endoscopy is emerging as a novel, minimally invasive diagnostic technology for inspection of the GI tract and diagnosis of a wide range of diseases and…

Computer Vision and Pattern Recognition · Computer Science 2017-05-19 Mehmet Turan , Yusuf Yigit Pilavci , Redhwan Jamiruddin , Helder Araujo , Ender Konukoglu , Metin Sitti

Existing unsupervised low-light image enhancement methods lack enough effectiveness and generalization in practical applications. We suppose this is because of the absence of explicit supervision and the inherent gap between real-world…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Shuzhou Yang , Xuanyu Zhang , Yinhuai Wang , Jiwen Yu , Yuhan Wang , Jian Zhang

Capsule endoscopy is a novel and non-invasive method for diagnosis, which assists gastroenterologists to monitor the digestive track. Although this new technology has many advantages over the conventional endoscopy, there are weaknesses…

Image and Video Processing · Electrical Eng. & Systems 2018-01-01 Mohammad Amin Khorsandi , Nader Karimi , Shadrokh Samavi

Video capsule endoscopy has become increasingly important for investigating the small intestine within the gastrointestinal tract. However, a persistent challenge remains the short battery lifetime of such compact sensor edge devices.…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Julia Werner , Oliver Bause , Julius Oexle , Maxime Le Floch , Franz Brinkmann , Jochen Hampe , Oliver Bringmann

Contemporary Low-Light Image Enhancement (LLIE) techniques have made notable advancements in preserving image details and enhancing contrast, achieving commendable results on specific datasets. Nevertheless, these approaches encounter…

Computer Vision and Pattern Recognition · Computer Science 2024-06-05 Xiaofeng Liu , Jiaxin Gao , Xin Fan , Risheng Liu

Dynamic Contrast-enhanced magnetic resonance imaging (DCE-MRI) is a tissue perfusion imaging technique. Some versatile free-breathing DCE-MRI techniques combining compressed sensing (CS) and parallel imaging with golden-angle radial…

Medical Physics · Physics 2020-07-08 Yuhan Hu , Xinlin Zhang , Li Feng , Dicheng Chen , Zhiping Yan , Xiaoyong Shen , Gen Yan , Lin Ou-yang , Xiaobo Qu