Cite this DOI

PARVATHI, M., BOTLA, H., & PRANITHA (2023). Lung Cancer Detection Using Image Processing Technique. *Journal of Science & Technology*, *08*(07), 38–47. https://doi.org/10.46243/jst.2023.v8.i07.pp38-47

@article{parvathi2023lung,
  author    = {PARVATHI, Ms.SHIVA and BOTLA, HARSHAVARDHINI and PRANITHA},
  title     = {{Lung Cancer Detection Using Image Processing Technique}},
  journal   = {Journal of Science \& Technology},
  year      = {2023},
  volume    = {08},
  number    = {07},
  pages     = {38--47},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2023.v8.i07.pp38-47},
  url       = {https://doi.org/10.46243/jst.2023.v8.i07.pp38-47},
  language  = {en},
  abstract  = {Cancer is a quite common and dangerous disease. The various methods of cancer exist in the worldwide. Lung cancer is the most typical variety of cancer. The beginning of treatment is started by diagnosing CT scan. The risk of death can be minimized by detecting the cancer very early. The cancer is diagnosed by computed tomography machine to process further. In this paper, the lung nodules are differentiated using the input CT images. The lung cancer nodules are classified using support vector machine classifier and the proposed method convolutional neural network classifier. Training and predictions using those classifiers are done. The Nodules which are grown in the lung cancer are tested as normal and tumor image. The testing of the CT images are done using SVM and CNN classifier. Deep learning is always given prominent place for the classification process in present years. Especially this type of learning is used in}
}

TY  - JOUR
TI  - Lung Cancer Detection Using Image Processing Technique
AU  - PARVATHI, Ms.SHIVA
AU  - BOTLA, HARSHAVARDHINI
AU  - PRANITHA
JO  - Journal of Science & Technology
PY  - 2023
DA  - 2023///
VL  - 08
IS  - 07
SP  - 38
EP  - 47
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Cancer is a quite common and dangerous disease. The various methods of cancer exist in the worldwide. Lung cancer is the most typical variety of cancer. The beginning of treatment is started by diagnosing CT scan. The risk of death can be minimized by detecting the cancer very early. The cancer is diagnosed by computed tomography machine to process further. In this paper, the lung nodules are differentiated using the input CT images. The lung cancer nodules are classified using support vector machine classifier and the proposed method convolutional neural network classifier. Training and predictions using those classifiers are done. The Nodules which are grown in the lung cancer are tested as normal and tumor image. The testing of the CT images are done using SVM and CNN classifier. Deep learning is always given prominent place for the classification process in present years. Especially this type of learning is used in
DO  - 10.46243/jst.2023.v8.i07.pp38-47
UR  - https://doi.org/10.46243/jst.2023.v8.i07.pp38-47
ER  -

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    "URL": "https://doi.org/10.46243/jst.2023.v8.i07.pp38-47",
    "title": "Lung Cancer Detection Using Image Processing Technique",
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    "abstract": "Cancer is a quite common and dangerous disease. The various methods of cancer exist in the worldwide. Lung cancer is the most typical variety of cancer. The beginning of treatment is started by diagnosing CT scan. The risk of death can be minimized by detecting the cancer very early. The cancer is diagnosed by computed tomography machine to process further. In this paper, the lung nodules are differentiated using the input CT images. The lung cancer nodules are classified using support vector machine classifier and the proposed method convolutional neural network classifier. Training and predictions using those classifiers are done. The Nodules which are grown in the lung cancer are tested as normal and tumor image. The testing of the CT images are done using SVM and CNN classifier. Deep learning is always given prominent place for the classification process in present years. Especially this type of learning is used in",
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2023.v8.i07.pp38-47 gives all four in one JSON answer.