A Proposed Hybrid Medoid Shift with K-Means (HMSK) Segmentation Algorithm to Detect Tumor and Organs for Effective Radiotherapy

V. V. Gomathi, S. Karthikeyan. A Proposed Hybrid Medoid Shift with K-Means (HMSK) Segmentation Algorithm to Detect Tumor and Organs for Effective Radiotherapy. In Rajendra Prasath, T. Kathirvalavakumar, editors, Mining Intelligence and Knowledge Exploration, First International Conference, MIKE 2013, Tamil Nadu, India, December 18-20, 2013. Volume 8284 of Lecture Notes in Computer Science, pages 139-147, Springer, 2013. [doi]

@inproceedings{GomathiK13,
  title = {A Proposed Hybrid Medoid Shift with K-Means (HMSK) Segmentation Algorithm to Detect Tumor and Organs for Effective Radiotherapy},
  author = {V. V. Gomathi and S. Karthikeyan},
  year = {2013},
  doi = {10.1007/978-3-319-03844-5_15},
  url = {http://dx.doi.org/10.1007/978-3-319-03844-5_15},
  researchr = {https://researchr.org/publication/GomathiK13},
  cites = {0},
  citedby = {0},
  pages = {139-147},
  booktitle = {Mining Intelligence and Knowledge Exploration, First International Conference, MIKE 2013, Tamil Nadu, India, December 18-20, 2013},
  editor = {Rajendra Prasath and T. Kathirvalavakumar},
  volume = {8284},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-03844-5},
}