• Corpus ID: 244269935

Segmentation of Lung Tumor from CT Images using Deep Supervision

@article{Farheen2021SegmentationOL,
  title={Segmentation of Lung Tumor from CT Images using Deep Supervision},
  author={Farhanaz Farheen and Md. Salman Shamil and Nabil Ibtehaz and Mohammad Sohel Rahman},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.09262}
}
Lung cancer is a leading cause of death in most countries of the world. Since prompt diagnosis of tumors can allow oncologists to discern their nature, type and the mode of treatment, tumor detection and segmentation from CT Scan images is a crucial field of study worldwide. This paper approaches lung tumor segmentation by applying two-dimensional discrete wavelet transform (DWT) on the LOTUS dataset for more meticulous texture analysis whilst integrating information from neighboring CT slices… 

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Tumour segmentation method for CT Images which takes apart non-enhancing lung tumours from healthy tissues has been carried out by clustering method, which uses pre-processing technique that remove unwanted artifacts using median and wiener filters.