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Effective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction.

BMC Med Imaging

January 2025

Department of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.

Problem: Breast cancer is a leading cause of death among women, and early detection is crucial for improving survival rates. The manual breast cancer diagnosis utilizes more time and is subjective. Also, the previous CAD models mostly depend on manmade visual details that are complex to generalize across ultrasound images utilizing distinct techniques.

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Background: With the improvement of medical treatment, the survival rate of cancer patients continues to rise; however, their psychological issues require further management. Currently, there is uncertainty regarding the prevalence of mental health problems among cancer survivors.

Objective: To quantitatively summarize the global prevalence of mental health problems in cancer survivors.

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This study aimed to analyze computational techniques in ECG imaging (ECGI) reconstruction, focusing on dataset identification, problem-solving, and feature extraction. We employed a PRISMA approach to review studies from Scopus and Web of Science, applying Cochrane principles to assess risk of bias. The selection was limited to English peer-reviewed papers published from 2010 to 2023, excluding studies that lacked computational technique descriptions.

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Preoperative Assessment of the Nasal Valve.

Otolaryngol Clin North Am

January 2025

Division of Facial Plastics and Reconstructive Surgery, University of South Florida, Tampa, FL, USA. Electronic address:

Nasal obstruction is often a multifactorial problem, attributable to physiologic and anatomic processes. Nasal valve compromise may be static or dynamic in nature. Successful diagnostic evaluation rests on a comprehensive history and physical examination.

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Insights into the regulation mechanisms of dual hydrothermal treatment on the structure and digestive characteristics of A- and B-type wheat starch granules.

Food Res Int

January 2025

State Key Laboratory of Crop Stress Adaptation and Improvement, College of Agriculture, Henan University, Kaifeng 475004, China; Food Laboratory of Zhongyuan, Luohe 462300, China. Electronic address:

Hydrothermal treatment is a physical modification technology to alter starch structures for the production of resistant starch (RS). However, the underlying regulation mechanism of the multiscale structure and digestive properties of starch by dual hydrothermal synergistic treatment remains unclear. To solve this problem, A- and B-type wheat starch granules (AWS and BWS) were separated and subjected to toughening and heat-moisture synergistic treatment (THT) with various moisture content (10 %, 15 %, 20 %, 25 %).

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