Analytical study of the encoder-decoder models for ultrasound image segmentation

Accurate diagnosis and treatment planning for medical conditions rely heavily on the results of medical image segmentation. Medical images are available in many modalities like CT scans, MRI, histopathological, and ultrasound images. Among all, the real-time analysis of the ultrasound is the most co...

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Bibliographic Details
Published in:	Service oriented computing and applications Vol. 18; no. 1; pp. 81 - 100
Main Authors:	Srivastava, Somya, Vidyarthi, Ankit, Jain, Shikha
Format:	Journal Article
Language:	English
Published:	London Springer London 01.03.2024 Springer Nature B.V
Subjects:	Algorithms Architecture Availability Computed tomography Computer Appl. in Administrative Data Processing Computer Science Computer Systems Organization and Communication Networks Datasets Deep learning Diagnostic systems e-Commerce/e-business Encoders-Decoders Image segmentation IT in Business Machine learning Management of Computing and Information Systems Medical imaging Nerves Neural networks Pipelining (computers) Real time Sensitivity Software Engineering/Programming and Operating Systems Special Issue Paper Ultrasonic imaging Deep neural network Encoder-decoder model Artificial intelligence Medical image segmentation
ISSN:	1863-2386, 1863-2394
Online Access:	Get full text
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