Pilot study of breast cancer classification using deep learning approach
Breast cancer is harmful diseases and also the most common cancer causes of cancerrelated deaths among women. Traditional diagnosis and detection method requires a lot of experience, professional knowledge, and human sometimes might prone to fall diagnostic errors. The effective way to reduce the mo...
Saved in:
Main Author: | Chong, Kim Yew |
---|---|
Format: | Final Year Project / Dissertation / Thesis |
Published: |
2020
|
Subjects: | |
Online Access: | http://eprints.utar.edu.my/3946/1/17ACB00134_FYP.pdf http://eprints.utar.edu.my/3946/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Breast cancer classification using deep learning approaches and histopathology image: a comparison study
by: Shahidi, Faezehsadat, et al.
Published: (2020) -
Breast cancer multi-classification through deep neural network and hierarchical classification approach
by: Murtaza, Ghulam, et al.
Published: (2020) -
Deep learning-based breast cancer detection and classification using histopathology images / Ghulam Murtaza
by: Ghulam , Murtaza
Published: (2021) -
Breast cancer histological images nuclei segmentation and
optimized classification with deep learning
by: Abbasi, Muhammad Inam, et al.
Published: (2022) -
Molecular subtypes classification of breast cancer in DCE-MRI using deep features
by: Hasan, Ali M., et al.
Published: (2024)