Application of Deep Learning to Construct Breast Cancer Diagnosis Model
(1) Background: According to Taiwan’s ministry of health statistics, the rate of breast cancer in women is increasing annually. Each year, more than 10,000 women suffer from breast cancer, and over 2000 die of the disease. The mortality rate is annually increasing, but if breast cancer tumors are de...
Main Authors: | Rong-Ho Lin, Benjamin Kofi Kujabi, Chun-Ling Chuang, Ching-Shun Lin, Chun-Jen Chiu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/4/1957 |
Similar Items
-
Fault Diagnosis of a Rotor and Ball-Bearing System Using DWT Integrated with SVM, GRNN, and Visual Dot Patterns
by: Wen-Lin Chu, et al.
Published: (2019-11-01) -
Recognition of Image-Based Plant Leaf Diseases Using Deep Learning Classification Models
by: Sakshi Takkar, Anuj Kakran, Veerpal Kaur, Manik Rakhra, Manish Sharma, Pargin Bangotra and Neha Verma
Published: (2021-12-01) -
An Innovative Intelligent System with Integrated CNN and SVM: Considering Various Crops through Hyperspectral Image Data
by: Shiuan Wan, et al.
Published: (2021-04-01) -
Breast Cancer Diagnosis Using Lightweight Deep Convolution Neural Network Model
by: Tasleem Kausar, et al.
Published: (2023-01-01) -
Cross-cohort generalizability of deep and conventional machine learning for MRI-based diagnosis and prediction of Alzheimer’s disease
by: Esther E. Bron, et al.
Published: (2021-01-01)