Breast Cancer Diagnosis Using YOLO-Based Multiscale Parallel CNN and Flattened Threshold Swish
In the field of biomedical imaging, the use of Convolutional Neural Networks (CNNs) has achieved impressive success. Additionally, the detection and pathological classification of breast masses creates significant challenges. Traditional mammogram screening, conducted by healthcare professionals, is...
Main Authors: | Ahmed Dhahi Mohammed, Dursun Ekmekci |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-03-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/14/7/2680 |
Similar Items
-
Klasifikasi Jenis Jagung Berdasarkan Bentuk Biji Menggunakan Metode You Only Look Once (YOLO)
by: Maulidiansyah Maulidiansyah, et al.
Published: (2023-10-01) -
Pemantauan Physical Distance Pada Area Umum Menggunakan YOLO Tiny V3
by: Mohammad Chasrun Hasani, et al.
Published: (2022-02-01) -
YOLO Network with a Circular Bounding Box to Classify the Flowering Degree of Chrysanthemum
by: Hee-Mun Park, et al.
Published: (2023-08-01) -
Deteksi Tangan Otomatis Pada Video Percakapan Bahasa Isyarat Indonesia Menggunakan Metode YOLO Dan CNN
by: Indah Inayatul Arifah, et al.
Published: (2022-11-01) -
YOLO Network Optimization With a Single Circular Bounding Box for Detecting Defective Cigarettes
by: Hee-Mun Park, et al.
Published: (2023-01-01)