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A computer vision approach for the classification of multi liver tumor using computed tomography scan

 Published on 25/11/2025 |  Original article (Full-text)  | Zubair Muhammad et al. | BMC Medical Imaging 2025; 25(1): 479

In this study, the main focus is on Computed Tomography (CT) scans, classification, liver tumors, multilayer perceptron (MLP), and optimized multi-features. These keywords highlight the central aspects of the research and guide readers toward the methodological and clinical relevance of the work. Liver...

Radiomics and radiogenomics in ovarian cancer: a review with a focus on ultrasound applications

 Published on 18/11/2025 |  Original article (Full-text)  | Huang Yiyang et al. | Cancer imaging 2025; 25(1): 129

Ovarian cancer (OC) is the sixth most common female malignancy, demonstrating significant geographical variations in survival outcomes due to disparities in early detection and treatment access [1, 2]. Traditional imaging remains the primary approach for ovarian tumor detection [3]; however, its effectiveness...

Longitudinal contrast-enhanced cone beam breast computed tomography for monitoring treatment response in breast cancer neoadjuvant therapy: a comprehensive assessment

 Published on 11/11/2025 |  Original article (Full-text)  | Wang Yafei et al. | Breast Cancer Research 2025; 27(1): 198

Locally advanced breast cancer (LABC) represents a clinically significant disease entity marked by substantial primary tumor burden or regional lymph node metastasis in the absence of distant dissemination [1]. The adoption of neoadjuvant therapy (NAT) has reshaped the treatment landscape for LABC, particularly...

Ultrasound-based radiomics model for predicting axillary lymph node metastasis of breast cancer

 Published on 04/11/2025 |  Original article (Full-text)  | Liu Wanling et al. | BMC Medical Imaging 2025; 25(1): 434

Breast cancer has surpassed lung cancer as the most common malignancy worldwide. According to statistics from the world health organization in 2020, there were approximately 2.3 million newly diagnosed female breast cancer patients globally, with around 690,000 deaths [1]. In breast cancer patients,...

Deep learning and radiomics integration of photoacoustic/ultrasound imaging for non-invasive prediction of luminal and non-luminal breast cancer subtypes

 Published on 28/10/2025 |  Original article (Full-text)  | Wang Mengyun et al. | Breast Cancer Research 2025; 27(1): 160

Breast cancer (BC) is one of the most common malignant tumors and a leading cause of cancer-related mortality among women worldwide, with its incidence rising steadily in recent years [1, 2–3]. As a biologically heterogeneous disease, BC is classified into distinct molecular subtypes, each with...

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 Published on 14/11/2024 |  Original article (Full-text)  |