• Chaitanya Som
• Swojas Kulkarni
• Jay Doshi
• Sahil Tamboli

Lung cancer causes one of every six deaths across the world. Around 42 million individuals across the world experience the detestable effects of this malignant disease and this figure is ceaselessly developing. In India, around two and half million individuals are experiencing various kinds of lung cancers. If the disease is diagnosed at initial stage along with the associated proper treatment, the patient’s health can improve and even recover. In this paper, we are proposing strategies in which an Image recognition based assessment can be utilized for the detection and mitigation of lung cancer. Moreover, this paper focuses on subtleties like the detection and classification of the various types of the disease like malignant, benign or normal by using the CNN based algorithm.

Deep Learning, Convolutional Neural Networks (CNN), Image Processing

"HOME REMEDIES FOR LUNG CANCER DISEASE USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.j171-j173, May-2023, Available :http://www.jetir.org/papers/JETIR2305973.pdf

"HOME REMEDIES FOR LUNG CANCER DISEASE USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppj171-j173, May-2023, Available at : http://www.jetir.org/papers/JETIR2305973.pdf