dc.contributor.author |
Perera, Bawantha |
|
dc.date.accessioned |
2024-03-13T04:35:47Z |
|
dc.date.available |
2024-03-13T04:35:47Z |
|
dc.date.issued |
2023 |
|
dc.identifier.citation |
Perera, Bawantha (2023) DetectOC: Deep Learning-Based Decision Support System for type of Oral Cancer Grading. BSc. Dissertation, Informatics Institute of Technology |
en_US |
dc.identifier.issn |
2018408 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/1870 |
|
dc.description.abstract |
The "DetectOC" project presents a Deep Learning-Based Decision Support System tailored for the precise grading of Oral Squamous-Cell Carcinoma (OSCC). OSCC, a prevalent form of cancer in Sri Lanka and elsewhere, significantly impacts public health. The traditional evaluation of OSCC mainly relies on manual, time-consuming, and subjective histological analysis by expert pathologists. This project addresses the limitations of manual evaluation and aims to provide a technologically advanced solution. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IIT |
en_US |
dc.subject |
Deep Learning |
en_US |
dc.subject |
Histopathology |
en_US |
dc.subject |
Oral Cancer |
en_US |
dc.title |
DetectOC: Deep Learning-Based Decision Support System for type of Oral Cancer Grading |
en_US |
dc.type |
Thesis |
en_US |