A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis

Liver segmentation and recognition from computed tomography (CT) images is a warm topic in image processing which is helpful for doctors and practitioners. Currently, many deep learning methods are used for liver segmentation that takes a long time to train the model which makes this task challengin...

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Veröffentlicht in:	Computational intelligence and neuroscience 2022-03, Vol.2022, p.1-16
Hauptverfasser:	Ahmad, Mubashir, Qadri, Syed Furqan, Qadri, Salman, Saeed, Iftikhar Ahmed, Zareen, Syeda Shamaila, Iqbal, Zafar, Alabrah, Amerah, Alaghbari, Hayat Mansoor, Mizanur Rahman, Sk. Md
Format:	Artikel
Sprache:	eng
Schlagworte:	Abdomen Algorithms Analysis Artificial neural networks Automation Benchmarks Computed tomography CT imaging Datasets Deep learning Diagnostic imaging Embedding Image processing Image segmentation Lightweight Liver Machine learning Medical imaging Neural networks Normal distribution Object recognition Physicians Tumors
Online-Zugang:	Volltext
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