Comprehensive Analysis of Mammography Images Using Multi-Branch Attention Convolutional Neural Network

E Al-Mansour, M Hussain, HA Aboalsamh… - Applied Sciences, 2023 - mdpi.com
Breast cancer profoundly affects women's lives; its early diagnosis and treatment increase
patient survival chances. Mammography is a common screening method for breast cancer …

Advancements in Breast Cancer Diagnosis: A Comprehensive Review of Mammography Datasets, Preprocessing and Classification Techniques

H Soltani, I Bendib, MY Haouam… - Acta Informatica …, 2024 - ceeol.com
Breast cancer, a pervasive global health concern, necessitates early detection for an
improved prognosis. Mammography, a pivotal screening tool, faces challenges in …

Analysis of Object Recognition Using Back Propagation-Based Algorithms

S Aruna, M Maheswari, G Charulatha… - … Advancements in AI …, 2024 - igi-global.com
Lower back propagation-based algorithms (BPBA) use supervised gaining knowledge to
understand items in photos. BPBAs are frequently called convolutional neural networks …

RP squeeze U-SegNet model for lesion segmentation and optimization enabled ShuffleNet based multi-level severity diabetic retinopathy classification

ZB Sulaiman - Network: Computation in Neural Systems, 2024 - Taylor & Francis
ABSTRACT In Diabetic Retinopathy (DR), the retina is harmed due to the high blood
pressure in small blood vessels. Manual screening is time-consuming, which can be …

[PDF][PDF] Next-Generation Cyberattack Detection for Industrial IoT using Extreme Learning Machine with Optimization Algorithm

MF Sabir - 2024 - ceur-ws.org
The reliability of an industrial Internet of Things (IIoT) system is a significant end-user
preference. Preserving network reliability is vital to void the loss of life. A trustworthy IIoT …