Results 101 to 110 of about 933,512 (366)
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2001 This paper presents a database containing 'ground truth' segmentations produced by humans for images of a wide variety of natural scenes. We define an error measure which quantifies the consistency between segmentations of differing granularities and ...
David R. Martin +3 more
semanticscholar +1 more source
LVIS: A Dataset for Large Vocabulary Instance Segmentation [PDF]
Computer Vision and Pattern Recognition, 2019 Progress on object detection is enabled by datasets that focus the research community’s attention on open challenges. This process led us from simple images to complex scenes and from bounding boxes to segmentation masks. In this work, we introduce LVIS (
Agrim Gupta +2 more
semanticscholar +1 more source
Crosstalk between gut microbiota and tumor: tumors could cause gut dysbiosis and metabolic imbalance
Molecular Oncology, EarlyView.In this research, we analyzed the relationship between gut microbiota and tumor. We discovered that both subcutaneous and metastatic tumors would alter the composition and metabolic function of gut microbiota. Meanwhile, fecal microbiota transplantation also indicated the anti‐tumor role of the gut microbiota, revealing the crosstalk between tumor and ...
Siyuan Zhang +8 more
wiley +1 more source
Remote Sensing, 2016 The development of robust and accurate methods for automatic building detection and regularisation using multisource data continues to be a challenge due to point cloud sparsity, high spectral variability, urban objects differences, surrounding ...
Syed Ali Naqi Gilani +2 more
doaj +1 more source
Image Segmentation Algorithms Overview [PDF]
arXiv, 2017 The technology of image segmentation is widely used in medical image processing, face recognition pedestrian detection, etc. The current image segmentation techniques include region-based segmentation, edge detection segmentation, segmentation based on clustering, segmentation based on weakly-supervised learning in CNN, etc.
arxiv
Molecular Oncology, EarlyView.Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran +16 more
wiley +1 more source
Individual Tree Crown Delineation from Airborne Laser Scanning for Diseased Larch Forest Stands
Remote Sensing, 2017 Airborne laser scanning (ALS) can be utilised to derive canopy height models (CHMs) for individual tree crown (ITC) delineation. In the case of forest areas subject to defoliation and dieback as a result of disease, increased irregularities across the ...
Chloe Barnes +5 more
doaj +1 more source
Prefer Nested Segmentation to Compound Segmentation [PDF]
arXiv, 2017 Introduction: Intra-organ radiation dose sensitivity is becoming increasingly relevant in clinical radiotherapy. One method for assessment involves partitioning delineated regions of interest and comparing the relative contributions or importance to clinical outcomes.
arxiv
Contour Detection and Hierarchical Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011 This paper investigates two fundamental problems in computer vision: contour detection and image segmentation. We present state-of-the-art algorithms for both of these tasks.
Pablo Arbeláez +3 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.Patient‐derived xenografts (PDXs) can be improved by implantation of a humanized niche. We tested different biomaterials and approaches, and demonstrate that the combination of an injectable biomaterial for scaffold creation plus an intravenous route for acute myeloid leukemia (AML) xenotransplantation provide the most convenient and robust approach to
Daniel Busa +13 more
wiley +1 more source