Szczegóły Szczegóły PDF BIBTEX RIS Tytuł artykułu Semantic segmentation and PSO based method for segmenting liver and lesion from CT images Tytuł czasopisma International Journal of Electronics and Telecommunications Rocznik 2022 Wolumin vol. 68 Numer No 3 Autorzy Nayantara, P Vaidehi ; Kamath, Surekha ; KN, Manjunath ; Kadavigere, Rajagopal Afiliacje Nayantara, P Vaidehi : Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India ; Kamath, Surekha : Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India ; KN, Manjunath : Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India ; Kadavigere, Rajagopal : Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India Słowa kluczowe Liver lesion segmentation ; computed tomography ; semantic segmentation ; SegNet ; Particle swarm optimization-based clustering ; Hounsfield Unit Wydział PAN Nauki Techniczne Zakres 635-640 Wydawca Polish Academy of Sciences Committee of Electronics and Telecommunications Data 2022.09.06 Typ Article Identyfikator DOI: 10.24425/ijet.2022.141283 ; ISSN 2081-8491, eISSN 2300-1933 <div class="test"></div>