Feyza Altunbey Özbay¹, Erdal Özbay², Farhad Soleimanian Gharehchopogh^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1067-1110, 2024, DOI:10.32604/cmes.2024.054334 - 27 September 2024

Abstract Artificial rabbits optimization (ARO) is a recently proposed biology-based optimization algorithm inspired by the detour foraging and random hiding behavior of rabbits in nature. However, for solving optimization problems, the ARO algorithm shows slow convergence speed and can fall into local minima. To overcome these drawbacks, this paper proposes chaotic opposition-based learning ARO (COARO), an improved version of the ARO algorithm that incorporates opposition-based learning (OBL) and chaotic local search (CLS) techniques. By adding OBL to ARO, the convergence speed of the algorithm increases and it explores the search space better. Chaotic maps in CLS… More > Graphic Abstract

Oncology Research Editorial Office

Oncology Research, Vol.32, No.10, pp. 1679-1680, 2024, DOI:10.32604/or.2024.056894 - 18 September 2024

Abstract This article has no abstract. More >

Oncology Research Editorial Office

Oncology Research, Vol.32, No.10, pp. 1675-1676, 2024, DOI:10.32604/or.2024.056889 - 18 September 2024

Abstract This article has no abstract. More >

Youqi Jiang^1,#, Bing Wu^2,#, Jiahui Chen³, Ruyi Jin³, Guangshan Jin³, Minhao Zhang⁴, Qin Zhou^4,*, Aiji Jiang^2,*

Psycho-Oncologie, Vol.18, No.3, pp. 191-200, 2024, DOI:10.32604/po.2024.053942 - 12 September 2024

Abstract Objective: This study evaluated the effect of resilience on depression among patients with breast cancer from individual and familial perspectives by exploring the mediating and moderating effects of family resilience between individual resilience and depression. Methods: A questionnaire survey was conducted among 337 patients with breast cancer who were admitted to the Oncology Department of Jiangsu Province Hospital. The survey included demographic information, the Connor–Davidson Resilience Scale (CD-RISC), the Family Resilience Assessment Scale (FRAS), and the Chinese version of the Patient Health Questionnaire-9 (PHQ-9) for Depression. The relationship among individual resilience, family resilience, and depression… More >

Huimin Zheng, Minghui Wang^*, Miao Ye

Psycho-Oncologie, Vol.18, No.3, pp. 169-179, 2024, DOI:10.32604/po.2024.052703 - 12 September 2024

Abstract Background: Although fear of cancer recurrence (FCR) is the most important factor affecting the life quality of young breast cancer patients, and it may be affected by the patient’s personality, marital relationship and communication, there is a lack of research on the relationship between adult attachment, self-disclosure and FCR in patients. This study investigated the current situation of FCR in young breast cancer patients, its correlation with adult attachment and self-disclosure and its influencing factors, in order to predict the impact of adult attachment and self-disclosure of patients to spouse on FCR. Methods: A survey… More >

Nevena Stojadinović¹, Goran Mihajlović¹, Marko Spasić¹, Milena Mladenović¹, Darko Hinić^2,*

Psycho-Oncologie, Vol.18, No.3, pp. 159-168, 2024, DOI:10.32604/po.2024.050122 - 12 September 2024

Abstract Breast cancer is considered one of the most frequent causes of morbidity and death in women. Individuals’ response to information regarding health threats and illness can influence the adjustment of the treatment to existing conditions including the issues of non-completion of treatment or non-attendance at medical appointments. The study aimed to examine the relationship between illness perception, body image dissatisfaction and (mal)adaptive coping styles in breast cancer patients. A sample of 197 patients with diagnosed breast cancer hospitalized at the Center for Oncology and Radiology, Kragujevac, Serbia, was surveyed. The instruments included sociodemographic questionnaire, a… More >

Dennies Tsietso^1,*, Abid Yahya¹, Ravi Samikannu¹, Basit Qureshi², Muhammad Babar^3,*

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 4749-4765, 2024, DOI:10.32604/cmc.2024.052793 - 12 September 2024

Abstract Breast cancer is one of the major health issues with high mortality rates and a substantial impact on patients and healthcare systems worldwide. Various Computer-Aided Diagnosis (CAD) tools, based on breast thermograms, have been developed for early detection of this disease. However, accurately segmenting the Region of Interest (ROI) from thermograms remains challenging. This paper presents an approach that leverages image acquisition protocol parameters to identify the lateral breast region and estimate its bottom boundary using a second-degree polynomial. The proposed method demonstrated high efficacy, achieving an impressive Jaccard coefficient of 86% and a Dice… More >

Sannasi Chakravarthy¹, Bharanidharan Nagarajan², Surbhi Bhatia Khan^3,7,*, Vinoth Kumar Venkatesan², Mahesh Thyluru Ramakrishna⁴, Ahlam Al Musharraf⁵, Khursheed Aurungzeb⁶

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 5029-5045, 2024, DOI:10.32604/cmc.2024.052531 - 12 September 2024

Abstract Breast cancer is a type of cancer responsible for higher mortality rates among women. The cruelty of breast cancer always requires a promising approach for its earlier detection. In light of this, the proposed research leverages the representation ability of pretrained EfficientNet-B0 model and the classification ability of the XGBoost model for the binary classification of breast tumors. In addition, the above transfer learning model is modified in such a way that it will focus more on tumor cells in the input mammogram. Accordingly, the work proposed an EfficientNet-B0 having a Spatial Attention Layer with More >

Oncology Research Editorial Office

Oncology Research, Vol.32, No.9, pp. 1525-1525, 2024, DOI:10.32604/or.2024.056119 - 23 August 2024

Abstract This article has no abstract. More >

Oncology Research Editorial Office

Oncology Research, Vol.32, No.9, pp. 1523-1523, 2024, DOI:10.32604/or.2024.056118 - 23 August 2024

Abstract This article has no abstract. More >