Semantic Segmentation from RGBD Data in the Autonomous Driving Context
, 2022 reservedOne of the most challenging problems in the field of Computer Vision is Semantic Segmentation, an high level task which assigns class labels to each pixel, producing a dense output map where each pixel is classified according to its semantic ...
ROSSETTO, LORENZO
core
The role of syllable structure in lexical segmentation: Helping listeners avoid mondegreens. [PDF]
, 2000 One challenge for theories of word recognition is to determine how the listener recovers the intended lexical segmentation in continuous speech.
Dumay, Nicolas +4 more
core
Hierarchical Models for Image Segmentation: from Color to Texture [PDF]
, 2008 Segmentation is a low-level processing aimed at the partition of an image in disjoint regions, each one homogeneous with respect to some properties like intensity, texture, shape, etc.
Gaetano, Raffaele
core
Segmentation of nucleus based on dynamic convolution and deep features of stain distribution
IET Image ProcessingAnalysis of the pathology image is important to diagnose cancer of lung, breast and stomach. Segmenting the nucleus is a key step for quantitative analysis, and has significance to the pathology researches and computer aided diagnosis systems.
Haoyang Zhou, Bao Feng, Hongbo Chen
doaj +1 more source
Assessing market segmentation success : developing a plan, fieldwork, action approach [PDF]
Market segmentation practice has been one of the central issues in marketing research over the past thirty years. However, the results of many segmentation studies have been unworkable from a business stand-point.
Lin, Meng-Yen
core
Texture measures for segmentation [PDF]
, 2007 Includes bibliographical references (p. 67-72).Texture is an important visual cue in both human and computer vision. Segmenting images into regions of constant texture is used in many applications.
Haddad, Stephen
core
Automated Cerebrospinal Fluid Flow Quantification in Hydrocephalus Using Phase-Contrast Magnetic Resonance Imaging. [PDF]
NMR BiomedRodríguez Martínez EA +4 more
europepmc +1 more source
External evaluation of a deep learning-based algorithm for automated lung tumor and esophagus segmentation on CBCT. [PDF]
Biomed Phys Eng ExpressZhang Z +7 more
europepmc +1 more source
Effects of segmentation granularity on nutrient prediction from real-world food images. [PDF]
Front NutrHand L +3 more
europepmc +1 more source
Reviewing reproducibility and replicability in 'Deconstructing gastrulation at single-cell resolution' by Stern et al. (2022). [PDF]
J MicroscMartins GG +3 more
europepmc +1 more source