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Correction to: Rooted Spanning Superpixels [PDF]
International Journal of Computer Vision, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Cancer Medicine, Volume 15, Issue 8, August 2026.ABSTRACT Objective While tumor‐infiltrating lymphocytes (TILs) are prognostic in various cancers, their role in small bowel adenocarcinoma (SBA) is unexplored. This study evaluates the prognostic significance of digitally quantified TILs in SBA. Methods Using digital pathology (QuPath) on hematoxylin and eosin (H&E)‐stained slides from 62 SBA cases, we
Minying Deng +12 more
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Explainable Deep Learning for Imaging‐Based Skin Lesion Diagnosis: A Systematic Literature Review
Concurrency and Computation: Practice and Experience, Volume 38, Issue 16, August 2026.ABSTRACT In the latest years, the use of Deep Learning (DL) in imaging‐based skin lesion diagnosis has become increasingly prevalent. The deep models have revolutionized the computer‐aided diagnosis systems in terms of performance. However, DL models are often criticized as black boxes due to their complex and opaque internal design of numerous ...
Rym Dakhli, Walid Barhoumi
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IEEE Access, 2020 Brain tumor segmentation from Magnetic Resonance Imaging (MRI) is of great importance for better tumor diagnosis, growth rate prediction and radiotherapy planning. But this task is extremely challenging due to intrinsically heterogeneous tumor appearance,
Tamjid Imtiaz +3 more
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Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Exploiting Superpixels for Multi-Focus Image Fusion
, 2021 Multi-focus image fusion is the process of combining focused regions of two or more images to obtain a single all-in-focus image. It is an important research area because a fused image is of high quality and contains more details than the source images ...
Marcin Grzegorzek +3 more
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Video‐Based Rainfall Opportunistic Sensing in Hydrology: A Lightweight Machine Learning Approach
Water Resources Research, Volume 62, Issue 7, July 2026.Abstract Video‐based rainfall measurement is a frontier topic in opportunistic sensing; however, rapid, accurate, and robust identification of rainfall‐related rain‐streak features from dynamic videos remains a key challenge, especially for monitoring devices with limited computational resources.
Yongcheng Jin +5 more
wiley +1 more source
SEEDS: Superpixels Extracted Via Energy-Driven Sampling [PDF]
, 2021 Superpixel algorithms aim to over-segment the image by grouping pixels that belong to the same object. Many state-of-the-art superpixel algorithms rely on minimizing objective functions to enforce color homogeneity.
Van den Bergh, Michael +3 more
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Image Segmentation via Clustering Superpixels
, 2012 This paper presents a method for image segmentation by clustering superpixels based on histogram dissimilarity. A superpixel is a tiny image fragment which contains the edge or boundary information of sub-regions in the image. Each sub-region consists of
유지성, 김성대, 황성수
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Superpixel Estimation for Hyperspectral Imagery [PDF]
2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2014 In the past decade, there has been a growing need for machine learning and computer vision components (segmentation, classification) in the hyperspectral imaging domain. Due to the complexity and size of hyperspectral imagery and the enormous number of wavelength channels, the need for combining compact representations with image segmentation and ...
Pegah Massoudifar +2 more
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