Results 71 to 80 of about 9,000,286 (286)
SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation
Semantic segmentation of urban-scale point clouds can effectively assist people in understanding and perceiving 3D urban scenes. Although a considerable number of deep learning models for the semantic segmentation of point clouds have been proposed, some
Wenxiao Zhan, Jing Chen
doaj +1 more source
Evaluation and Selection of Models for Motion Segmentation [PDF]
We first present an improvement of Kanatani's subspace separation [8] for motion segmentation by newly introducing the affine space constraint. We point out that this improvement does not always fare well due to the effective noise it introduces.
Kenichi Kanatani, Kanatani, Kenichi
core +1 more source
Membrane composition and thermodynamic identity as boundaries of life for synthetic cell research
What makes a cell a cell? The boundary of a living cell is not just a wall. Read as a Markov blanket, the membrane separates internal from external states, generating identity and non‐equilibrium order. Can this identity be rebuilt from scratch in a synthetic cell?
Caterina Presutti, Bert Poolman
wiley +1 more source
PointSSM: State space model for large-scale LiDAR point cloud semantic segmentation
LiDAR point cloud semantic segmentation is the foundation of numerous practical applications. Recently, the Mamba, as a promising alternative to Transformer, has been getting intense attention in this field.
Dilong Li +4 more
doaj +1 more source
Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer
Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley +1 more source
DFSNet: A 3D Point Cloud Segmentation Network toward Trees Detection in an Orchard Scene
In order to guide orchard management robots to realize some tasks in orchard production such as autonomic navigation and precision spraying, this research proposed a deep-learning network called dynamic fusion segmentation network (DFSNet).
Xinrong Bu +5 more
doaj +1 more source
Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation
10 pages, 7 ...
Kyoung Jin Noh +2 more
openaire +3 more sources
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
A scale space approach for automatically segmenting words from historical handwritten documents
Many libraries, museums, and other organizations contain large collections of handwritten historical documents, for example, the papers of early presidents like George Washington at the Library of Congress. The first step in providing recognition/ retrieval tools is to automatically segment handwritten pages into words.
Manmatha, R., Rothfeder, Jamie L.
openaire +3 more sources

