Multi-CNN Deep Feature Fusion and Stacking Ensemble Classifier for Breast Ultrasound Lesion Classification

Objective: To develop and validate a robust machine learning model for classifying breast ultrasound images into benign, malignant, and normal categories, aiming to enhance diagnostic accuracy using advanced feature extraction and ensemble learning techniques. Methods: A dataset comprising 2233 ima...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Kemal PANÇ, Sümeyye SEKMEN
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: BUCA SEYFI DEMIRSOY TRAINING AND RESEARCH HOSPITAL 2025-08-01
Saila:Forbes Tıp Dergisi
Gaiak:
breast ultrasound
deep learning
computer-aided diagnosis
ensemble learning
image classification
Sarrera elektronikoa:https://forbestip.org/articles/multi-cnn-deep-feature-fusion-and-stacking-ensemble-classifier-for-breast-ultrasound-lesion-classification/doi/forbes.galenos.2025.02360
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