Efficacy evaluation of 2D, 3D U-Net semantic segmentation and atlas-based segmentation of normal lungs excluding the trachea and main bronchi - Nemoto, Takafumi; Futakami, Natsumi; Yagi, Masamichi; Kumabe, Atsuhiro; Takeda, Atsuya; Kunieda, Etsuo; Shigematsu, Naoyuki (Journal of radiation research, 2020)
Keywords: Algorithms; Bronchi; Bronchi - diagnostic imaging; Cancer research; Care and treatment; CAT scans; Computed tomography; Contouring; Deep learning; Digital imaging; Durvalumab; Effectiveness; Humans; Image Processing, Computer-Assisted; Image segmentation; Imaging, Three-Dimensional; Lung - diagnostic imaging; Lung cancer; Machine learning; Medical imaging; Medical imaging equipment; Methods; Non-small cell lung cancer; Radiation; Radiation (Physics); Radiation therapy; Radiotherapy; Rank tests; Regular Paper; Semantic segmentation; Semantics; Test sets; Tomography; Tomography, X-Ray Computed; Trachea; Trachea - diagnostic imaging; Japan; lung cancer; semantic segmentation; trachea; main bronchi; U-Net