Optimized Hybrid CNN Framework for Enhanced Tumor Classification in Breast Cancer Diagnosis

Convolutional neural networks (CNNs) have augmented conventional approaches in medical imaging by improving tumor detection and classification efficacy. To enable oncologists to diagnose abnormalities promptly, this research proposes an innovative classification framework for breast cancer diagnosis...

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Vydáno v:	International journal of imaging systems and technology Ročník 35; číslo 6
Hlavní autoři:	Batool, Shumaila, Zainab, Saima, Usman, Muhammad, Pu, Juhua
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Wiley Subscription Services, Inc 01.11.2025
Témata:	Abnormalities Accuracy Algorithms Artificial neural networks Back propagation Back propagation networks Breast cancer Classification Diagnosis Effectiveness Machine learning Medical diagnosis Medical imaging Neural networks Optimization Optimization techniques Pattern recognition Performance enhancement Statistical analysis Tumors Variance analysis
ISSN:	0899-9457, 1098-1098
On-line přístup:	Získat plný text
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