Detection of skin cancer using Convolutional neural network
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.
| المؤلفون الرئيسيون: | , , , |
|---|---|
| مؤلفون آخرون: | |
| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
Brac University
2020
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/10361/13848 |
| id |
10361-13848 |
|---|---|
| record_format |
dspace |
| spelling |
10361-138482022-01-26T10:19:54Z Detection of skin cancer using Convolutional neural network Ahsan, Abu Sa-adat Mohamed Moon-Im Al Alif, Shadman Monsur Kibria, Junaid Bin Gomes, Prince Elvis Uddin, Jia Department of Computer Science and Engineering, Brac University Skin cancer Detection Machine learning Convolutional neural net- work Prediction Cross validation Diagnostic imaging. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019. Cataloged from PDF version of thesis. One of the most common and fatal cancer in the universe is skin cancer which arise from skin of epidermis, the topmost layer of the skin, it can happen anywhere in the body. We can find out the cancer by early detection. Skin cancer detection is a time consuming process and very critical. So in clinical applications, the machine learning analysis of skin cancer is failed to give correct images for a model. In our paper we followed three pre-processing steps which are: a) removing the shadows from the image which is illumination correction processing, b) to find the border of the skin lesion in the segmentation part, c) feature extraction by doing the ABCD framework. Our thesis makes an attempt to implement the method of Convolutional Neural Network. Using this classification, we find out the best result in inception v3 which was trained on skin lesions and we got the accuracy of 82.4%. So, our primary focus of this thesis is to differentiate between cancerous and non-cancerous image. Then our goal is to reduce importance of one of the painful process in cancer detection which is known as biopsy. Biopsy is removing tissue from a body and later it goes to many laboratory tests. Abu Sa-adat Mohamed Moon-Im Al Ahsan Shadman Monsur Alif Junaid Bin Kibria Prince Elvis Gomes B. Computer Science 2020-03-11T06:16:08Z 2020-03-11T06:16:08Z 2019 2019-10 Thesis ID 12301023 ID 15101012 ID 15101032 ID 15101037 http://hdl.handle.net/10361/13848 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 33 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Skin cancer Detection Machine learning Convolutional neural net- work Prediction Cross validation Diagnostic imaging. |
| spellingShingle |
Skin cancer Detection Machine learning Convolutional neural net- work Prediction Cross validation Diagnostic imaging. Ahsan, Abu Sa-adat Mohamed Moon-Im Al Alif, Shadman Monsur Kibria, Junaid Bin Gomes, Prince Elvis Detection of skin cancer using Convolutional neural network |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019. |
| author2 |
Uddin, Jia |
| author_facet |
Uddin, Jia Ahsan, Abu Sa-adat Mohamed Moon-Im Al Alif, Shadman Monsur Kibria, Junaid Bin Gomes, Prince Elvis |
| format |
Thesis |
| author |
Ahsan, Abu Sa-adat Mohamed Moon-Im Al Alif, Shadman Monsur Kibria, Junaid Bin Gomes, Prince Elvis |
| author_sort |
Ahsan, Abu Sa-adat Mohamed Moon-Im Al |
| title |
Detection of skin cancer using Convolutional neural network |
| title_short |
Detection of skin cancer using Convolutional neural network |
| title_full |
Detection of skin cancer using Convolutional neural network |
| title_fullStr |
Detection of skin cancer using Convolutional neural network |
| title_full_unstemmed |
Detection of skin cancer using Convolutional neural network |
| title_sort |
detection of skin cancer using convolutional neural network |
| publisher |
Brac University |
| publishDate |
2020 |
| url |
http://hdl.handle.net/10361/13848 |
| work_keys_str_mv |
AT ahsanabusaadatmohamedmoonimal detectionofskincancerusingconvolutionalneuralnetwork AT alifshadmanmonsur detectionofskincancerusingconvolutionalneuralnetwork AT kibriajunaidbin detectionofskincancerusingconvolutionalneuralnetwork AT gomesprinceelvis detectionofskincancerusingconvolutionalneuralnetwork |
| _version_ |
1814308962621718528 |