Results 41 to 50 of about 1,762,979 (356)
Cellpose: a generalist algorithm for cellular segmentation
Many biological applications require the segmentation of cell bodies, membranes and nuclei from microscopy images. Deep learning has enabled great progress on this problem, but current methods are specialized for images that have large training datasets.
C. Stringer+3 more
semanticscholar +1 more source
On the Segmentation of Markets [PDF]
This paper endogenizes the market structure of an economy with heterogeneous agents who want to form bilateral matches in the presence of search frictions and when utility is nontransferable. There exist infinitely many marketplaces, and each agent chooses which marketplace to be in: agents get to choose not only whom to match with but also whom they ...
Jacquet, Nicolas Laurent+1 more
openaire +5 more sources
Text Segmentation by Cross Segment Attention [PDF]
Document and discourse segmentation are two fundamental NLP tasks pertaining to breaking up text into constituents, which are commonly used to help downstream tasks such as information retrieval or text summarization. In this work, we propose three transformer-based architectures and provide comprehensive comparisons with previously proposed approaches
Gonçalo Simões+3 more
openaire +3 more sources
Coupled non-parametric shape and moment-based inter-shape pose priors for multiple basal ganglia structure segmentation [PDF]
This paper presents a new active contour-based, statistical method for simultaneous volumetric segmentation of multiple subcortical structures in the brain.
Cetin, Mujdat+11 more
core +3 more sources
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation [PDF]
Object detection performance, as measured on the canonical PASCAL VOC dataset, has plateaued in the last few years. The best-performing methods are complex ensemble systems that typically combine multiple low-level image features with high-level context.
Ross B. Girshick+3 more
semanticscholar +1 more source
Segmentation by transduction [PDF]
This paper addresses the problem of segmenting an image into regions consistent with user-supplied seeds (e.g., a sparse set of broad brush strokes). We view this task as a statistical transductive inference, in which some pixels are already associated with given zones and the remaining ones need to be classified.
Duchenne, Olivier+4 more
openaire +3 more sources
Segmentation-Aware Convolutional Networks Using Local Attention Masks [PDF]
We introduce an approach to integrate segmentation information within a convolutional neural network (CNN). This counter-acts the tendency of CNNs to smooth information across regions and increases their spatial precision.
Derpanis, Konstantinos G.+2 more
core +2 more sources
Segmentation of multiple retailers’ clients on the basis of shopping occasions
Rapid development of a retailing sector and the emergence of multiple retailers (also called chain stores or chains of stores) significantly increased the power of retailers over other members of products distribution channels.
Sigitas Urbonavičius+1 more
doaj +1 more source
Aim:To reduce operator dependency and achieve greater accuracy, the computer-aided diagnosis (CAD) systems are becoming a useful tool for detecting noninvasively and determining tissue characterization in medical images.
Turkan Ikizceli+3 more
doaj +1 more source
Segmentation of Discrete Curves into Fuzzy Segments
A new concept, fuzzy segments, is introduced which allows for flexible segmentation of discrete curves, so taking into account some noise in them. Relying on an arithmetic approach of discrete straight lines, it generalizes them, admitting that some points are missing. Thus, a larger class of objects is considered.
Debled-Rennesson, Isabelle+2 more
openaire +4 more sources