[SpringerBriefs in Electrical and Computer Engineering] Creating New Medical Ontologies for Image Annotation || Medical Images Annotation

[SpringerBriefs in Electrical and Comput

[SpringerBriefs in Electrical and Computer Engineering] Creating New Medical Ontologies for Image Annotation || Medical Images Segmentation

✍ Stanescu, Liana; Burdescu, Dumitru Dan; Brezovan, Marius; Mihai, Cristian Gabrie 📂 Article 📅 2011 🏛 Springer New York ⚖ 861 KB

[SpringerBriefs in Electrical and Comput

[SpringerBriefs in Electrical and Computer Engineering] Creating New Medical Ontologies for Image Annotation || Content-Based Image Retrieval in Medical Images Databases

✍ Stanescu, Liana; Burdescu, Dumitru Dan; Brezovan, Marius; Mihai, Cristian Gabrie 📂 Article 📅 2011 🏛 Springer New York ⚖ 133 KB

[SpringerBriefs in Electrical and Comput

[SpringerBriefs in Electrical and Computer Engineering] Creating New Medical Ontologies for Image Annotation Volume 854 || Semantic-Based Image Retrieval

✍ Stanescu, Liana; Burdescu, Dumitru Dan; Brezovan, Marius; Mihai, Cristian Gabrie 📂 Article 📅 2011 🏛 Springer New York ⚖ 198 KB

Decision Forests for Computer Vision and

Decision Forests for Computer Vision and Medical Image Analysis || Extremely Randomized Trees and Random Subwindows for Image Classification, Annotation, and Retrieval

✍ Criminisi, A.; Shotton, J. 📂 Article 📅 2013 🏛 Springer London ⚖ 613 KB

[SpringerBriefs in Electrical and Comput

[SpringerBriefs in Electrical and Computer Engineering] Sparse Representations and Compressive Sensing for Imaging and Vision || Introduction

✍ Patel, Vishal M.; Chellappa, Rama 📂 Article 📅 2013 🏛 Springer New York 🌐 English ⚖ 64 KB

Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal. These measurements are usually much smaller than the number of samples that define the signal. From these small numbers of measuremen

[SpringerBriefs in Electrical and Comput

[SpringerBriefs in Electrical and Computer Engineering] Sparse Representations and Compressive Sensing for Imaging and Vision || Compressive Sensing

✍ Patel, Vishal M.; Chellappa, Rama 📂 Article 📅 2013 🏛 Springer New York 🌐 English ⚖ 601 KB

Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal. These measurements are usually much smaller than the number of samples that define the signal. From these small numbers of measuremen