An Efficient Tumor Detection Framework Using Deep Learning

dc.contributor.guide	Surender Singh and Kavita
dc.coverage.spatial
dc.creator.researcher	Damandeep
dc.date.accessioned	2022-12-09T05:48:44Z
dc.date.available	2022-12-09T05:48:44Z
dc.date.awarded	2022
dc.date.completed	2022
dc.date.registered
dc.description.abstract	Brain tumor is the 22nd most common cancer worldwide with 1.8% of the total number of new cancers. Brain tumor Segmentation ad classification plays vital role in Tumor diagnosis using various image processing techniques, As Brain tumor is a critical and life threatening condition which is spreading worldwide. So Early Detection of Brain tumor can improve the patient Survival. Because of their enormous increases in data search and extraction speed and accuracy, as well as individualized treatment suggestions, machine- and deep-learning techniques are being increasingly commonly applied throughout healthcare industries. newline
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dc.format.accompanyingmaterial	None
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dc.identifier.uri	http://hdl.handle.net/10603/423334
dc.language	English
dc.publisher.institution	Department of Computer Science Engineering
dc.publisher.place	Mohali
dc.publisher.university	Chandigarh University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Artificial Intelligence
dc.subject.keyword	Engineering and Technology
dc.title	An Efficient Tumor Detection Framework Using Deep Learning
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dc.type.degree	Ph.D.