Cancer detection using image processing and machine/deep learning methods
Breast cancer is one of the highest mortality cancers among women. The breast tumors can be classified into two categories, benign and malignant. Benign is the non-cancerous tumor; While the other variant, malignant is the cancerous tumor. These tumors are dangerous and mostly life-threatening due t...
Saved in:
Main Author: | Leong, Zeh Zen |
---|---|
Format: | Final Year Project / Dissertation / Thesis |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.utar.edu.my/4813/1/fyp_EE_LZZ_2022.pdf http://eprints.utar.edu.my/4813/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hybrid watermark techniques for skin cancer images
by: Omar Adil Dheyab
Published: (2019) -
Prospective observational study of deep inspiration breath hold (DIBH) in radiotherapy for left-sided breast cancer
by: Sum, Ying Ying, et al.
Published: (2022) -
Comparative studies on breast cancer classifications with K-Fold Cross Validations using machine learning techniques
by: Nematzadehbalagatabi, Zahra, et al.
Published: (2015) -
Subcellular localization of leptin and leptin receptor in breast cancer detected in an electron microscopic study
by: Abdulrazzaq, Saad Mohammed, et al.
Published: (2016) -
Building partnership in oral cancer research in a developing country: processes and barriers.
by: Zain, R., et al.
Published: (2009)