Power Management Strategy and Sizing Optimization Techniques for Hybrid Energy Systems Considering Feature Selection: Mini Review

AA Ahmed, OA Abd Al Aziz, N Yasser - مجلة شمال إفريقيا للنشر العلمي …, 2023‎ - najsp.com
This paper proposes a supervision system control called Power Management Strategy
(PMS) that optimizes the performance of a system while minimizing its energy consumption …

[HTML][HTML] DBU-Net: Dual branch U-Net for tumor segmentation in breast ultrasound images

P Pramanik, R Pramanik, F Schwenker, R Sarkar - Plos one, 2023 - journals.plos.org
Breast ultrasound medical images often have low imaging quality along with unclear target
boundaries. These issues make it challenging for physicians to accurately identify and …

[HTML][HTML] A multi-stage approach to breast cancer classification using histopathology images

A Bagchi, P Pramanik, R Sarkar - Diagnostics, 2022 - mdpi.com
Breast cancer is one of the deadliest diseases worldwide among women. Early diagnosis
and proper treatment can save many lives. Breast image analysis is a popular method for …

Breast Cancer-Risk Factors and Prediction Using Machine-Learning Algorithms and Data Source: A Review of Literature

A Alsabry, M Algabri, AM Ahsan - Sana'a University Journal of …, 2023 - journals.su.edu.ye
Breast cancer (BC) is a major health concern worldwide. It is a complex and multifactorial
disease, and identifying its risk factors is crucial for early detection and effective treatment …

[HTML][HTML] DAU-Net: Dual attention-aided U-Net for segmenting tumor in breast ultrasound images

P Pramanik, A Roy, E Cuevas, M Perez-Cisneros… - Plos one, 2024 - journals.plos.org
Breast cancer remains a critical global concern, underscoring the urgent need for early
detection and accurate diagnosis to improve survival rates among women. Recent …

[HTML][HTML] Adaptive feature selection for active trachoma image classification

MS Zewudie, S Xiong, X Yu, X Wu… - Knowledge-Based …, 2024 - Elsevier
Trachoma is a neglected tropical eye disease caused by ocular strains of Chlamydia
trachomatis, which affects millions of people worldwide. To examine the eye for signs of …

Binary tunicate swarm algorithm based novel feature selection framework for mammographic mass classification

R Laishram, R Rabidas - Measurement, 2024 - Elsevier
The efficacy of a CAD system for mammographic mass classification depends on high-
quality features for maximum throughput. Feature selection is crucial for accurate breast …

Deep features and metaheuristics guided optimization-based method for breast cancer diagnosis

E Asad, AF Mollah, S Basu, T Chakraborti - Multimedia Tools and …, 2024 - Springer
Breast cancer is one of the most prevalent cancer types and the second leading cause of
death among women. But fortunately, early diagnosis and treatment of breast cancer …

HGANet-23: a novel architecture for human gait analysis based on deep neural network and improved satin bowerbird optimization

F Jahangir, MA Khan, R Damaševičius… - Signal, Image and Video …, 2024 - Springer
Human gait is an essential biometric feature in the area of computer vision research. Over
the past ten years, there has been a growing demand for a non-contact biometric approach …

[PDF][PDF] An Analysis on Advances In Lung Cancer Diagnosis With Medical Imaging And Deep Learning Techniques: Challenges And Opportunities

V SHARIFF, C PARITALA, KM ANKALA - Journal of Theoretical and Applied …, 2023 - jatit.org
This abstract provides an overview of numerous studies on the identification and diagnosis
of lung cancer using medical imaging and deep learning. However, techniques like the …